Senior Security Engineer - US About VulnCheck Exploitation prevention is only as strong as the intelligence driving those efforts, and most of the industry is still running on intelligence that lacks exploit context. VulnCheck, The Exploit Intelligence Company, delivers structured exploit intelligence on what is actively weaponized in the wild, purpose-built for the data lakes, ETL pipelines, automation, and AI and LLM workflows your infrastructure already runs on, raising the capability of everything it powers. About the Role We're hiring a Senior Security Engineer to work side-by-side with our engineering team, embedding security into how we build and ship — not bolting it on after the fact. You'll partner with engineers on design reviews, help harden the platform as it grows, and build the tooling and automation that lets security scale without slowing anyone down. You'll report to our VP of Information Security and have real autonomy to identify problems and build the solutions yourself and in collaboration with engineering. This is a builder's role. In addition to use of vendor tools, you'll be writing code and infrastructure that turns security and compliance work into repeatable, self-service processes for the business helping to automate and improve what's manual today, closing gaps in how we detect and respond to issues, and giving engineering the guardrails and feedback loops they need to move fast safely. What You'll Do Partner with Engineering on Platform Security Work directly with engineering on design and architecture reviews, threat modeling, and secure-by-default patterns for new services Review and harden IaC across our cloud environments (EKS, Aurora, OpenSearch, S3, IAM) Lead least-privilege IAM decomposition and drive adoption of stronger identity patterns across the platform Support disaster recovery testing and resilience exercises alongside the infrastructure team Build Tooling That Scales Security Design and build automation that turns detection, response, and compliance work into repeatable processes rather than manual effort Improve and extend onboarding/offboarding automation, alert triage pipelines, and identity/access anomaly detection Build internal tools that give engineering fast, self-service ways to check their own security posture What You'll Bring 5+ years in security engineering, with real depth in AWS security and Infrastructure-as-Code (Terraform/Terragrunt strongly preferred) Firm working knowledge of Kubernetes/EKS security — RBAC, network policies, pod security standards, image scanning, and cluster hardening Strong written communication — you'll document your own work, since we're a small, high-trust team A track record of building tools or automation that solved a security problem at scale, not just running existing tools Previous use of tools like Crowdstrike, Wiz, Security Hub Experience with golang Comfortable working directly with software engineers — in code reviews, design discussions, and incident response Incident investigation and RCA tracking Experience supporting a SOC 2 (or similar framework) program from the technical/evidence side Experience with Google Workspace as an identity/IdP source of truth Self-directed: you'll often be the only engineer working a problem end to end Preferred Qualifications Exposure to offensive security or red/purple teaming Familiarity with Aurora or managed OpenSearch specifically What We Offer We believe people do their best work when they feel supported, trusted, and valued. VulnCheck offers benefits designed to meet a wide range of needs and lifestyles, tailored to your country of employment: Generous, flexible time off Retirement/pension plan contributions (e.g., 401k with match in the US; local pension schemes elsewhere) Comprehensive healthcare coverage Generous paid parental leave Remote-friendly environment with flexibility Support for home office costs (phone & internet) Specific benefit details vary by country and are confirmed during the offer process. Why Join Us Built on over two decades of cybersecurity experience, our team of experts understands the intricacies of vulnerabilities, their exploitation in the wild, and how to leverage this data to build more effective cybersecurity products that produce better outcomes for organizations. VulnCheck gives organizations a tactical advantage by providing best-in-class exploit & vulnerability intelligence information. We have a sense of duty to protect the critical infrastructure we rely on including medical devices, power grids and telecommunication networks. We were founded in 2021 in Lexington, Massachusetts. VulnCheck has a transparent, collaborative, and supportive culture - we are looking for people who have a growth mindset, are curious and innovative. Our team is smart, but humble, hardworking, and supportive. VulnCheck is proud to be an Equal Employer Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. VulnCheck is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. *Even if your experience doesn't perfectly align with the job description, we encourage you to apply—we value potential just as much as a perfect resume.
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Senior Security Engineer - US About VulnCheck Exploitation prevention is only as strong as the intelligence driving those efforts, and most of the industry is still running on intelligence that lacks exploit context. VulnCheck, The Exploit Intelligence Company, delivers structured exploit intelligence on what is actively weaponized in the wild, purpose-built for the data lakes, ETL pipelines, automation, and AI and LLM workflows your infrastructure already runs on, raising the capability of everything it powers. About the Role We're hiring a Senior Security Engineer to work side-by-side with our engineering team, embedding security into how we build and ship — not bolting it on after the fact. You'll partner with engineers on design reviews, help harden the platform as it grows, and build the tooling and automation that lets security scale without slowing anyone down. You'll report to our VP of Information Security and have real autonomy to identify problems and build the solutions yourself and in collaboration with engineering. This is a builder's role. In addition to use of vendor tools, you'll be writing code and infrastructure that turns security and compliance work into repeatable, self-service processes for the business helping to automate and improve what's manual today, closing gaps in how we detect and respond to issues, and giving engineering the guardrails and feedback loops they need to move fast safely. What You'll Do Partner with Engineering on Platform Security Work directly with engineering on design and architecture reviews, threat modeling, and secure-by-default patterns for new services Review and harden IaC across our cloud environments (EKS, Aurora, OpenSearch, S3, IAM) Lead least-privilege IAM decomposition and drive adoption of stronger identity patterns across the platform Support disaster recovery testing and resilience exercises alongside the infrastructure team Build Tooling That Scales Security Design and build automation that turns detection, response, and compliance work into repeatable processes rather than manual effort Improve and extend onboarding/offboarding automation, alert triage pipelines, and identity/access anomaly detection Build internal tools that give engineering fast, self-service ways to check their own security posture What You'll Bring 5+ years in security engineering, with real depth in AWS security and Infrastructure-as-Code (Terraform/Terragrunt strongly preferred) Firm working knowledge of Kubernetes/EKS security — RBAC, network policies, pod security standards, image scanning, and cluster hardening Strong written communication — you'll document your own work, since we're a small, high-trust team A track record of building tools or automation that solved a security problem at scale, not just running existing tools Previous use of tools like Crowdstrike, Wiz, Security Hub Experience with golang Comfortable working directly with software engineers — in code reviews, design discussions, and incident response Incident investigation and RCA tracking Experience supporting a SOC 2 (or similar framework) program from the technical/evidence side Experience with Google Workspace as an identity/IdP source of truth Self-directed: you'll often be the only engineer working a problem end to end Preferred Qualifications Exposure to offensive security or red/purple teaming Familiarity with Aurora or managed OpenSearch specifically What We Offer We believe people do their best work when they feel supported, trusted, and valued. VulnCheck offers benefits designed to meet a wide range of needs and lifestyles, tailored to your country of employment: Generous, flexible time off Retirement/pension plan contributions (e.g., 401k with match in the US; local pension schemes elsewhere) Comprehensive healthcare coverage Generous paid parental leave Remote-friendly environment with flexibility Support for home office costs (phone & internet) Specific benefit details vary by country and are confirmed during the offer process. Why Join Us Built on over two decades of cybersecurity experience, our team of experts understands the intricacies of vulnerabilities, their exploitation in the wild, and how to leverage this data to build more effective cybersecurity products that produce better outcomes for organizations. VulnCheck gives organizations a tactical advantage by providing best-in-class exploit & vulnerability intelligence information. We have a sense of duty to protect the critical infrastructure we rely on including medical devices, power grids and telecommunication networks. We were founded in 2021 in Lexington, Massachusetts. VulnCheck has a transparent, collaborative, and supportive culture - we are looking for people who have a growth mindset, are curious and innovative. Our team is smart, but humble, hardworking, and supportive. VulnCheck is proud to be an Equal Employer Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. VulnCheck is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. *Even if your experience doesn't perfectly align with the job description, we encourage you to apply—we value potential just as much as a perfect resume.
Honigman is a premier business law firm, based in Michigan with an international practice. Honigman is consistently recognized as one of the 101 Best and Brightest Places to Work, we earned this recognition by recruiting attorneys and staff members with outstanding credentials. Currently, we are looking for a Cybersecurity Analyst in our Detroit Office. In addition to our Corporate Detroit Office, we have offices in Grand Rapids, Lansing, Ann Arbor, Bloomfield Hills, Kalamazoo, and Washington D.C. With more than 350 attorneys working in 60 different areas of concentration, Honigman provides timely and cost-effective counsel to clients in numerous industries. SUMMARY The Cybersecurity Analyst is a technical, hands-on role responsible for protecting the organization's systems, networks, and data by monitoring, scanning, detecting, and responding to cybersecurity threats. This position focuses on operational security, technical analysis, and system-level protection, requiring direct interaction with security tools, infrastructure, and data. Reporting to the Information Security Manager, the analyst works closely with the Network Services and Applications teams to strengthen and maintain the organization's overall security posture, ensuring that systems and applications are securely configured, monitored, and resilient against threats, both on-prem and on cloud. The primary focus of this role is day-to-day threat detection and incident response, while also contributing to the longer-term enhancement of the security posture through continuous improvements and architectural design. RESPONSIBILITIES Continuously monitor networks, systems, and security using SIEM/XDR tools. Investigate suspicious activity and perform log analysis, threat triage, incident documentation, and escalation. Conduct threat hunting across endpoints, identity, cloud, messaging, and network environments to proactively identify malicious activity, indicators of compromise (IOCs), anomalous behavior, and emerging threats that may evade existing security controls and detections. Analyze telemetry from security tools, logs, and threat intelligence sources to detect hidden threats, attacker techniques, and potential security gaps. Support incident response and remediation efforts. Perform vulnerability scans, analyze findings, track remediations, and validate fixes. Support ISO 27001 risk assessments and control effectiveness reviews and assist with audit preparation and evidence collection. Analyze incidents trends and alerts to identify recurring patterns and systemic weaknesses. Analyze threat intelligence and emerging risks and stay current on cybersecurity trends. Assist in designing and improving security controls across systems. Assist in developing operational and executive level security reporting. Contribute to architecture reviews (cloud, identity, endpoint, network). Evaluate and assess new technologies and security solutions. Review and suggest enhancements to security controls (firewalls, encryption, endpoints). Identify and assess threats posed by AI including risks posed by internal solution adoption, unauthorized use, governance controls, data leakage, and attack techniques and tools that are used to accelerate vulnerability discovery and exploitation. QUALIFICATIONS Bachelor's degree in a related field (or equivalent experience). Relevant certifications (e.g., Security+, CISSP, CEH). 5+ years of experience in information security. Security monitoring tools (SIEM, EDR/XDR). Strong knowledge of networking (TCP/IP, DNS, firewalls). Cloud security design knowledge (Azure preferred). Understanding of Defense-in-Depth, Zero-Trust, and secure system design principles. DLP principles and tools (Preferably Microsoft Purview). Preferred working experience with CrowdStrike, Arctic Wolf, Cisco, Duo, MS Entra and AD. Understanding of the risks and opportunities introduced by AI security tools. Understanding of the use of AI offensively by malicious actors and defensively by the Firm. REQUIREMENTS Must be authorized to work in the United States without employer sponsorship now or in the future This position is not eligible for visa sponsorship Pay Range and Compensation Package Honigman provides a generous total compensation package, which includes comprehensive health and well-being benefits, as well as 401k and profit sharing. The anticipated annual pay range for this role is $105,000 to $130,000 (exempt). The actual offered pay rate will be determined based on various factors, including qualifications, experience, geographic location, education, external market data, and internal equity considerations. Benefits & Additional Information Successful candidates will enjoy an exceptional career opportunity within a welcoming environment. Eligible employees can also take advantage of Honigman's comprehensive benefits program, highlights of which are below: Healthcare, life and disability insurance 401K and profit sharing Bonus program Generous All Purpose Leave (APL) program that increases with tenure Well-being programs (e.g., mental health services, medical resources, and more) Learning and development programs Employee discounts For more information, click on "Our Benefits" when you visit: https://www.honigman.com/careers-business-professionals Honigman is an Equal Opportunity Employer and does not discriminate on the basis of race, color, religion, sex, age, national origin, veteran status, marital status, sexual orientation, disability or any other category prohibited by applicable local, state or federal law. This policy applies to all aspects of employment, including recruitment, placement, promotion, transfer, demotion, compensation, benefits, and termination .
Hiring near our Irving, TX and Stamford, CT Centers of Excellence with a flexible environment. About Gartner Information Security Gartner Information Security enables the business to move quickly and confidently by protecting our people, data, and ideas. We are a global team of defenders, investigators, engineers, and lifelong learners who solve complex security challenges together. You will join an inclusive, security-first culture where expertise is shared, thoughtful challenge is encouraged, and strong ideas can come from anyone. If you are curious, practical, and motivated to strengthen the security posture of a global organization, you will have the opportunity to make a visible impact here. About The Role We are seeking a Senior Security Analyst to help strengthen our global Security Operations capability. You will independently handle complex investigations, improve detection and response, and help protect Gartner's people, data, and intellectual property. You will independently handle complex investigations, improve detection and response, and help protect Gartner's people, data and intellectual property. This is a hands-on role for someone who combines strong technical capability with sound judgement, clear communication, and a drive to improve how a global SOC operates. You will be an experienced investigator, a trusted technical escalation point for other analysts, a mentor and a builder of better ways to detect, investigate, and respond. Gartner's SOC operates 24x7 to support global teams across multiple time zones. This role requires the flexibility to work on rotating days, including weekends and holidays, to ensure continuous coverage and meet business needs. What You Will Do Investigate complex incidents: Independently investigate security incidents from initial triage through scoping, containment, remediation and closure, escalating high-impact events and coordinating with the Lead Security Analyst when needed. Analyze deeply: Correlate evidence across SIEM, EDR, cloud, email, proxy, network and supporting telemetry to determine root cause, scope, impact and remediation. Communicate clearly: Produce concise, high-quality investigation notes, incident reports and actionable outcomes for technical teams and business stakeholders. Improve detection and response: Develop and tune detection content, investigative workflows and playbooks aligned with MITRE ATT&CK, the Cyber Kill Chain and other relevant frameworks. Build and automate: Develop practical tools and automation that reduce repetitive work, accelerate investigations, and improve SOC effectiveness. Hunt proactively: Identify malicious behavior, vulnerabilities, control gaps, misconfigurations and anomalous activity across endpoint, network and cloud environments. Support the team: Act as an escalation point for other analysts, share knowledge, and help strengthen technical and investigative capability. Drive continuous improvement: Contribute practical ideas that improve processes, demonstrate operational excellence, and advance the maturity of the global SOC. What You Will Bring Relevant experience: Three to five years of experience in information security, security operations, incident response, or an equivalent hands-on role. Investigation capability: Proven experience triaging and investigating cybersecurity events and incidents, prioritizing effectively and working confidently in a time-sensitive environment. Technical depth: Hands-on experience across SIEM or XDR, EDR, email security, web proxy and digital forensics and incident response. Cloud and data skills: Experience investigating AWS, Azure or GCP environments and working with SPL, KQL, SQL or comparable query languages. Proactive defense: Practical threat-hunting experience; red or purple team exposure is advantageous. Automation mindset: Ability to automate with Python, PowerShell, Bash, or similar technologies and identify opportunities to reduce repetitive operational work. Influence and communication: Strong written and verbal communication, documentation, and stakeholder engagement skills, with the ability to explain technical issues clearly and support other analysts. Growth mindset: Curiosity, continuous learning, and a track record of improving tools, processes, and team capability. Training and Certifications: A bachelor's degree in cybersecurity, computer science, engineering or equivalent practical experience is preferred. Certifications such as GCIH, GCFA, or comparable credentials are advantageous. What You Will Love About Working Here Visible impact: Help strengthen the maturity of a global SOC while protecting a business that operates on a worldwide scale. Meaningful ownership: Take responsibility for the technical investigation of complex incidents, influence outcomes, and see strong ideas move from concept to implementation. Modern security challenges: Work across diverse technologies and environments, supported by tools and investment that enable you to do your best work. Growth through collaboration: Learn with skilled colleagues who value curiosity, knowledge sharing, thoughtful challenges, and continuous improvement. Autonomy with support: Have the freedom to improve how we work, backed by a global team committed to shared success. Not sure you meet every requirement? That's okay! If you're excited about the role and believe you can make an impact, we encourage you to apply; you may be exactly what we're looking for. What you will get: Competitive compensation. Limitless growth and learning opportunities. Ongoing mentorship and apprenticeship; Leadership courses, development programs, technical courses, certification opportunities and more! A collaborative and positive culture - join a diverse team of professionals that are as smart and driven as you. A chance to make an impact – your work will contribute directly to our strategy. Enjoy the flexibility of working from home and the energy of collaborating with peers in our dynamic offices. 20+ PTO days plus holidays and floating holidays in your first year. Extensive medical, dental insurance and vision plan. 401K with corporate match, immediate vesting. Health-and-wellness-related allowance programs. Parental leave. Tuition reimbursement. Employee Stock Purchase Plan. Employee Assistance Program. Gartner Gives Charity Match. And much more! Who are we? At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world. Our mission relies on expert analysis and bold ideas to deliver actionable, objective business and technology insights, helping enterprise leaders and their teams succeed with their mission-critical priorities. Since our founding in 1979, we've grown to 20,000 associates globally who support over 13,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That's why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here. What makes Gartner a great place to work? Our vast, virtually untapped market potential offers limitless opportunities – opportunities that may not even exist right now – for you to grow professionally and flourish personally. How far you go is driven by your passion and performance. We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients. Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations. We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work. Gartner is the world authority on AI At Gartner, you'll join a company at the very center of the AI revolution. Gartner has proactive, objective guidance throughout clients' AI journeys. We set the standard for how organizations leverage artificial intelligence to drive meaningful impact. You'll have access to unmatched resources, expertise, and technology, and play a key role in helping Gartner and our clients innovate and grow as we leverage AI to transform business and technology landscapes. It's an exciting time to be at Gartner, with limitless opportunities to make a real impact, grow your skills, and build a lasting, meaningful career in a field that's reshaping the way we operate. If you're passionate about AI and want to be part of a team that's guiding the leaders who shape the world, Gartner is the place for you. What do we offer? Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers. In our hybrid work environment, we provide the flexibility and support for you to thrive — working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring. Ready to grow your career with Gartner? Join us. Gartner believes in fair and equitable pay. A reasonable estimate of the base salary range for this role is 86,000 USD - 118,000 USD. Please note that actual salaries may vary within the range, or be above or below the range, based on factors including, but not limited to, education, training, experience, professional achievement, business need, and location. In addition to base salary, employees will participate in either an annual bonus plan based on company and individual performance, or a role-based, uncapped sales incentive plan. Our talent acquisition team will provide the specific opportunity on our bonus or incentive programs to eligible candidates. We also offer market leading benefit programs including generous PTO, a 401k match up to $7,200 per year, the opportunity to purchase company stock at a discount, and more. The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to seek to advance the principles of equal employment opportunity. Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company's career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at +1 (203) 964-0096 or by sending an email to ApplicantAccommodations@gartner.com. Job Requisition ID:115159 By submitting your information and application, you confirm that you have read and agree to the country or regional recruitment notice linked below applicable to your place of residence. Gartner Applicant Privacy Link: https://jobs.gartner.com/applicant-privacy-policy For efficient navigation through the application, please only use the back button within the application, not the back arrow within your browser.
Hiring near our Irving, TX and Stamford, CT Centers of Excellence with a flexible environment. About Gartner Information Security Gartner Information Security enables the business to move quickly and confidently by protecting our people, data, and ideas. We are a global team of defenders, investigators, engineers, and lifelong learners who solve complex security challenges together. You will join an inclusive, security-first culture where expertise is shared, thoughtful challenge is encouraged, and strong ideas can come from anyone. If you are curious, practical, and motivated to strengthen the security posture of a global organization, you will have the opportunity to make a visible impact here. About The Role We are seeking a Senior Security Analyst to help strengthen our global Security Operations capability. You will independently handle complex investigations, improve detection and response, and help protect Gartner's people, data, and intellectual property. You will independently handle complex investigations, improve detection and response, and help protect Gartner's people, data and intellectual property. This is a hands-on role for someone who combines strong technical capability with sound judgement, clear communication, and a drive to improve how a global SOC operates. You will be an experienced investigator, a trusted technical escalation point for other analysts, a mentor and a builder of better ways to detect, investigate, and respond. Gartner's SOC operates 24x7 to support global teams across multiple time zones. This role requires the flexibility to work on rotating days, including weekends and holidays, to ensure continuous coverage and meet business needs. What You Will Do Investigate complex incidents: Independently investigate security incidents from initial triage through scoping, containment, remediation and closure, escalating high-impact events and coordinating with the Lead Security Analyst when needed. Analyze deeply: Correlate evidence across SIEM, EDR, cloud, email, proxy, network and supporting telemetry to determine root cause, scope, impact and remediation. Communicate clearly: Produce concise, high-quality investigation notes, incident reports and actionable outcomes for technical teams and business stakeholders. Improve detection and response: Develop and tune detection content, investigative workflows and playbooks aligned with MITRE ATT&CK, the Cyber Kill Chain and other relevant frameworks. Build and automate: Develop practical tools and automation that reduce repetitive work, accelerate investigations, and improve SOC effectiveness. Hunt proactively: Identify malicious behavior, vulnerabilities, control gaps, misconfigurations and anomalous activity across endpoint, network and cloud environments. Support the team: Act as an escalation point for other analysts, share knowledge, and help strengthen technical and investigative capability. Drive continuous improvement: Contribute practical ideas that improve processes, demonstrate operational excellence, and advance the maturity of the global SOC. What You Will Bring Relevant experience: Three to five years of experience in information security, security operations, incident response, or an equivalent hands-on role. Investigation capability: Proven experience triaging and investigating cybersecurity events and incidents, prioritizing effectively and working confidently in a time-sensitive environment. Technical depth: Hands-on experience across SIEM or XDR, EDR, email security, web proxy and digital forensics and incident response. Cloud and data skills: Experience investigating AWS, Azure or GCP environments and working with SPL, KQL, SQL or comparable query languages. Proactive defense: Practical threat-hunting experience; red or purple team exposure is advantageous. Automation mindset: Ability to automate with Python, PowerShell, Bash, or similar technologies and identify opportunities to reduce repetitive operational work. Influence and communication: Strong written and verbal communication, documentation, and stakeholder engagement skills, with the ability to explain technical issues clearly and support other analysts. Growth mindset: Curiosity, continuous learning, and a track record of improving tools, processes, and team capability. Training and Certifications: A bachelor's degree in cybersecurity, computer science, engineering or equivalent practical experience is preferred. Certifications such as GCIH, GCFA, or comparable credentials are advantageous. What You Will Love About Working Here Visible impact: Help strengthen the maturity of a global SOC while protecting a business that operates on a worldwide scale. Meaningful ownership: Take responsibility for the technical investigation of complex incidents, influence outcomes, and see strong ideas move from concept to implementation. Modern security challenges: Work across diverse technologies and environments, supported by tools and investment that enable you to do your best work. Growth through collaboration: Learn with skilled colleagues who value curiosity, knowledge sharing, thoughtful challenges, and continuous improvement. Autonomy with support: Have the freedom to improve how we work, backed by a global team committed to shared success. Not sure you meet every requirement? That's okay! If you're excited about the role and believe you can make an impact, we encourage you to apply; you may be exactly what we're looking for. What you will get: Competitive compensation. Limitless growth and learning opportunities. Ongoing mentorship and apprenticeship; Leadership courses, development programs, technical courses, certification opportunities and more! A collaborative and positive culture - join a diverse team of professionals that are as smart and driven as you. A chance to make an impact – your work will contribute directly to our strategy. Enjoy the flexibility of working from home and the energy of collaborating with peers in our dynamic offices. 20+ PTO days plus holidays and floating holidays in your first year. Extensive medical, dental insurance and vision plan. 401K with corporate match, immediate vesting. Health-and-wellness-related allowance programs. Parental leave. Tuition reimbursement. Employee Stock Purchase Plan. Employee Assistance Program. Gartner Gives Charity Match. And much more! Who are we? At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world. Our mission relies on expert analysis and bold ideas to deliver actionable, objective business and technology insights, helping enterprise leaders and their teams succeed with their mission-critical priorities. Since our founding in 1979, we've grown to 20,000 associates globally who support over 13,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That's why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here. What makes Gartner a great place to work? Our vast, virtually untapped market potential offers limitless opportunities – opportunities that may not even exist right now – for you to grow professionally and flourish personally. How far you go is driven by your passion and performance. We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients. Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations. We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work. Gartner is the world authority on AI At Gartner, you'll join a company at the very center of the AI revolution. Gartner has proactive, objective guidance throughout clients' AI journeys. We set the standard for how organizations leverage artificial intelligence to drive meaningful impact. You'll have access to unmatched resources, expertise, and technology, and play a key role in helping Gartner and our clients innovate and grow as we leverage AI to transform business and technology landscapes. It's an exciting time to be at Gartner, with limitless opportunities to make a real impact, grow your skills, and build a lasting, meaningful career in a field that's reshaping the way we operate. If you're passionate about AI and want to be part of a team that's guiding the leaders who shape the world, Gartner is the place for you. What do we offer? Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers. In our hybrid work environment, we provide the flexibility and support for you to thrive — working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring. Ready to grow your career with Gartner? Join us. Gartner believes in fair and equitable pay. A reasonable estimate of the base salary range for this role is 86,000 USD - 118,000 USD. Please note that actual salaries may vary within the range, or be above or below the range, based on factors including, but not limited to, education, training, experience, professional achievement, business need, and location. In addition to base salary, employees will participate in either an annual bonus plan based on company and individual performance, or a role-based, uncapped sales incentive plan. Our talent acquisition team will provide the specific opportunity on our bonus or incentive programs to eligible candidates. We also offer market leading benefit programs including generous PTO, a 401k match up to $7,200 per year, the opportunity to purchase company stock at a discount, and more. The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to seek to advance the principles of equal employment opportunity. Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company's career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at +1 (203) 964-0096 or by sending an email to ApplicantAccommodations@gartner.com. Job Requisition ID:115159 By submitting your information and application, you confirm that you have read and agree to the country or regional recruitment notice linked below applicable to your place of residence. Gartner Applicant Privacy Link: https://jobs.gartner.com/applicant-privacy-policy For efficient navigation through the application, please only use the back button within the application, not the back arrow within your browser.
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Job Posting Title: AI Engineer Hiring Department: Dell Medical School Position Open To: All Applicants Weekly Scheduled Hours: 40 FLSA Status: Exempt from FLSA Earliest Start Date: Immediately Position Duration: Expected to Continue Location: AUSTIN, TX Job Details: General Notes The AI/Machine Engineer II supports the development, deployment, and monitoring of machine learning models in production environments. Reporting to the Director of Data Intelligence and Decision Science, this career-development role focuses on applying and expanding proficiency in MLOps practices. The AI/Machine Engineer II uses practical knowledge of machine learning operations to help build scalable, secure, and reliable ML infrastructure in a healthcare setting. Responsibilities Machine Learning Deployment and Governance Develops and refines ML deployment pipelines and workflows to support production-grade machine learning lifecycle governance and management. Implements lifecycle governance standards for versioning and reproducibility. Optimizes workflows for scalability and reliability. Model Monitoring and Performance Implements and maintains monitoring systems to proactively assess model performance, reliability, and drift. Detects and reports model drift and anomalies. Generates dashboards and alerts for stakeholders. Cross-Functional Collaboration Collaborates with data scientists, software engineers, and DevOps teams to translate model requirements into operational solutions. Coordinates integration with APIs and application workflows. Participates in code reviews and design sessions. Automation of Retraining and Deployment Designs and automates retraining, validation, and deployment processes to ensure model accuracy and responsiveness. Implements checks before deployment. Schedules retraining jobs based on triggers. Data Governance and Security Applies healthcare data governance and security protocols to ML systems, ensuring compliance with regulatory standards. Implements access controls and encryption. Supports compliance audits and documentation. Cloud Infrastructure Optimization Configures and optimizes cloud infrastructure for ML workloads, balancing performance and cost-efficiency. Tunes resource allocation for cost and performance. Monitors infrastructure utilization and scaling needs. Documentation and Knowledge Sharing Contributes to technical documentation, process improvement, and knowledge sharing across teams. Maintains technical documentation for ML workflows. Shares best practices and lessons learned. Marginal Or Periodic Functions Assists with proof-of-concept evaluations for new MLOps tools. Participates in post-mortem reviews for ML pipeline incidents. Supports periodic updates to model documentation and compliance records. Adheres to internal controls and reporting structure. Performs related duties as required. Knowledge/Skills/Abilities Functional/Technical Skills Demonstrates proficiency in programming and scripting for ML workflows and automation. Applies knowledge of machine learning concepts, model lifecycle, and production deployment. Possesses a working knowledge of CI/CD pipelines, cloud infrastructure, and container orchestration. Problem Solving Troubleshoots and optimizes ML systems in dynamic, real-world environments. Exhibits strong analytical and problem-solving skills for identifying and resolving operational challenges. Initiates process improvements and adopts emerging MLOps practices. Adaptability and Continuous Learning Commits to continuous learning and professional development in machine learning operations. Adapts quickly to new tools and emerging best practices. Prototypes with unfamiliar libraries and seeks feedback. Process Management Organizes ML workflows for efficiency and reliability. Automates retraining and evaluation jobs. Standardizes packaging and environments for reproducibility. Dealing with Ambiguity Handles unclear requirements through testing and iteration. Communicates trade-offs clearly and revisits decisions as new data emerges. Designs small experiments to reduce uncertainty. Peer Relationships Communicates and collaborates effectively across technical and non-technical teams. Participates in reviews and stand-ups to share updates. Co-develops APIs and integration points. Required Qualifications Bachelor's degree in Computer Science, Data Science, Engineering, or a related field. Minimum 2 years of relevant experience. Relevant education and experience may be substituted as appropriate. Preferred Qualifications 3+ years of experience in MLOps, DevOps, or ML engineering. Experience in healthcare or regulated environments. Licenses, Registrations or Certifications Required: None Preferred: Cloud platform certifications (e.g., foundational or associate-level). Introductory certifications in machine learning or DevOps practices. Salary Range $89,946 + depending on qualifications Working Conditions Standard office equipment Repetitive use of a keyboard May be exposed to such occupational hazards as communicable diseases, blood borne pathogens, ionizing and non-ionizing radiation, hazardous medications and disoriented or combative patients, or others. Required Materials Resume/CV 3 work references with their contact information; at least one reference should be from a supervisor Letter of interest Important for applicants who are NOT current university employees or contingent workers: You will be prompted to submit your resume the first time you apply, then you will be provided an option to upload a new Resume for subsequent applications. Any additional Required Materials (letter of interest, references, etc.) will be uploaded in the Application Questions section; you will be able to multi-select additional files. Before submitting your online job application, ensure that ALL Required Materials have been uploaded. Once your job application has been submitted, you cannot make changes. Important for Current university employees and contingent workers: As a current university employee or contingent worker, you MUST apply within Workday by searching for Find UT Jobs. If you are a current University employee, log-in to Workday, navigate to your Worker Profile, click the Career link in the left hand navigation menu and then update the sections in your Professional Profile before you apply. This information will be pulled in to your application. The application is one page and you will be prompted to upload your resume. In addition, you must respond to the application questions presented to upload any additional Required Materials (letter of interest, references, etc.) that were noted above. Employment Eligibility: Regular staff who have been employed in their current position for the last six continuous months are eligible for openings being recruited for through University-Wide or Open Recruiting, to include both promotional opportunities and lateral transfers. Staff who are promotion/transfer eligible may apply for positions without supervisor approval. Retirement Plan Eligibility: The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length. Background Checks: A criminal history background check will be required for finalist(s) under consideration for this position. Equal Opportunity Employer: The University of Texas at Austin, as an equal opportunity/affirmative action employer, complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions. Pay Transparency: The University of Texas at Austin will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. Employment Eligibility Verification: If hired, you will be required to complete the federal Employment Eligibility Verification I-9 form. You will be required to present acceptable and original documents to prove your identity and authorization to work in the United States. Documents need to be presented no later than the third day of employment. Failure to do so will result in loss of employment at the university. E-Verify: The University of Texas at Austin use E-Verify to check the work authorization of all new hires effective May 2015. The university's company ID number for purposes of E-Verify is 854197. For more information about E-Verify, please see the following: E-Verify Poster (English and Spanish) [PDF] Right to Work Poster (English) [PDF] Right to Work Poster (Spanish) [PDF] Compliance: Employees may be required to report violations of law under Title IX and the Jeanne Clery Disclosure of Campus Security Policy and Crime Statistics Act (Clery Act). If this position is identified a Campus Security Authority (Clery Act), you will be notified and provided resources for reporting. Responsible employees under Title IX are defined and outlined in HOP-3031. The Clery Act requires all prospective employees be notified of the availability of the Annual Security and Fire Safety report. You may access the most recent report here or obtain a copy at University Compliance Services, 1616 Guadalupe Street, UTA 2.206, Austin, Texas 78701.
Company Overview At 4A Consulting, we turn complexity into opportunity. Founded in 2014 and headquartered in Baltimore, MD, we are a women-owned, boutique consulting firm specializing in delivering innovative, data-driven solutions to both the Federal Government and Fortune 500 clients. Our team blends deep industry knowledge with advanced technologies to design tailored strategies that drive measurable and sustainable outcomes. We pride ourselves on an agile, collaborative approach that helps organizations navigate challenges and seize emerging opportunities in a rapidly evolving digital landscape. At 4A, we don't just deliver projects, we build trusted partnerships that empower our clients to lead with confidence in the digital age. Position Overview The AI/ML Platform Engineer will develop, maintain, and optimize the infrastructure, tools, and automated workflows supporting the state\'s shared enterprise AI/ML platform. The role focuses on ML pipeline automation, CI/CD, model deployment, monitoring, cloud cost optimization, and developer enablement. The engineer will collaborate with data scientists, data engineers, software developers, agency stakeholders, and external partners to deliver reliable, scalable, and production-ready AI/ML solutions across state agencies. Key Responsibilities ML Pipeline Automation and CI/CD: Build and maintain automated ML pipelines for data preprocessing, feature engineering, model training, evaluation, and deployment. Implement automated testing, pipeline validation, staged deployment, and failure recovery using Apache Airflow, Kubeflow Pipelines, Prefect, or equivalent tools. Model Development and Deployment: Prototype, implement, and optimize ML algorithms and integrate models into production systems. Apply appropriate supervised and unsupervised learning, deep learning, NLP, computer vision, and Generative AI techniques based on business requirements. Monitoring and Reliability: Implement logging, metrics, dashboards, and alerts to monitor pipeline health, model performance, data drift, model degradation, and infrastructure utilization. Participate in production support, incident response, troubleshooting, and root-cause analysis. Cloud Cost Optimization: Monitor compute, storage, and data-transfer costs. Optimize resource utilization through autoscaling, spot or preemptible instances, and workload scheduling. Contribute to infrastructure-as-code configurations, resource tagging, and budget controls. Developer Experience: Maintain internal SDKs, self-service tools, onboarding documentation, and reusable templates. Support platform users, troubleshoot issues, resolve bugs, and conduct technical enablement sessions for agency teams. Collaboration and Continuous Improvement: Translate business requirements into technical solutions, collaborate across multidisciplinary teams, evaluate emerging ML technologies, and improve platform reliability, scalability, usability, and operational efficiency. Required Qualifications Bachelor\'s degree in Computer Science, Engineering, or a related technical field. A master\'s degree or PhD is preferred but not required. At least five (5) years of experience in software engineering, data engineering, or ML engineering, including at least two (2) years working with production ML systems. Strong proficiency in Python and experience developing maintainable, production-quality code. Solid understanding of ML and deep learning fundamentals, including model training, evaluation, feature engineering, versioning, and deployment. Experience with ML frameworks and libraries such as PyTorch, TensorFlow, or scikit-learn, and with at least one ML orchestration tool: Apache Airflow, Kubeflow Pipelines, or Prefect. Familiarity with AWS, Azure, or GCP and managed AI/ML services. Experience with Docker, basic Kubernetes operations, and CI/CD tools such as GitHub Actions, GitLab CI, or Jenkins. Experience building, deploying, monitoring, or troubleshooting ML pipelines and production workflows. Strong analytical, problem-solving, debugging, communication, and cross-functional collaboration skills. Preferred Qualifications Experience with monitoring and observability tools such as Prometheus, Grafana, or Datadog. Familiarity with experiment tracking and model management tools such as MLflow or Weights & Biases. Experience with infrastructure as code and configuration management using Terraform or Ansible. Familiarity with feature stores such as Feast or Tecton. Experience with internal developer tools, SDKs, and self-service platform capabilities. Knowledge of NLP, computer vision, speech processing, reinforcement learning, or Generative AI. Experience in government, regulated, or large enterprise environments. Skills and Competencies Strong attention to detail and commitment to operational reliability. Ability to independently troubleshoot complex pipelines and distributed systems. Clear technical documentation and incident reporting skills. Collaborative approach to working with engineers, data scientists, and nontechnical stakeholders. Continuous improvement mindset focused on reducing operational issues, deployment delays, and unnecessary cloud costs. Why Join 4A Be part of a mission-driven, women-owned consulting firm with a reputation for excellence. Work on high-impact projects across federal and commercial clients. Collaborate in an inclusive, growth-oriented culture where innovation is valued. Access career development programs, mentorship, and learning opportunities. Enjoy a comprehensive benefits package, flexible work options, and a focus on work-life balance. Equal Opportunity Statement 4A Consulting is an Equal Opportunity Employer committed to an inclusive hiring process. Applicants requiring a reasonable accommodation due to a disability may contact accommodations@4a-consulting.com. This email is intended solely for accommodation requests. Please note that 4A Consulting participates in the federal E-Verify program. Upon hire, we will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the US. 4A Consulting will only use E-Verify once you have accepted a job offer and completed the Form I-9.
Description Please note: This role is contingent upon a contract award. While it is not an immediate opening, we are actively conducting interviews and extending offers in anticipation of the award. The Work At ICF our Digital Modernization Division is an information technology and management consulting organization that delivers integrated, strategic solutions to federal clients. We bring expertise in cloud, cybersecurity, enterprise architecture, data modernization, and digital transformation to support mission-critical government programs. Join a team accelerating the modernization of a large federal agency's enterprise data and analytics ecosystem. This cloud-based platform provides data storage, analytics, governance, and AI/ML capabilities that enable thousands of users to transform data into actionable insights. As demand continues to grow, the team is focused on migrating legacy workloads, streamlining onboarding and support, expanding platform capabilities, and helping organizations across the enterprise adopt modern data and AI solutions at scale. The ML Ops Engineer will develop and maintain machine learning pipelines, model registries, deployment frameworks, monitoring solutions, and automated workflows that support enterprise AI initiatives. Working closely with data scientists, data engineers, cloud architects, platform engineers, and Trustworthy AI stakeholders, this role enables the successful operationalization of machine learning capabilities across cloud-based environments. Job Location: Remote, however, strong preference for candidates who live in the Washington DC Metro Area. There will be occasional onsite meetings on the client site in Washington, DC. If you accept this position, you should note that ICF does monitor employee work locations, blocks access from foreign locations/foreign IP addresses, and prohibits personal VPN connections. What You'll Do Design, build, and maintain production-grade MLOps pipelines for model training, evaluation, validation, registration, deployment, monitoring, retraining, rollback, and retirement. Develop reusable MLOps and LLMOps patterns using Azure Databricks, Databricks ML, MLflow, Unity Catalog, Azure Machine Learning, Python, and approved Azure AI services. Implement experiment tracking, model versioning, model registries, lineage, quality metrics, model cards, and approval workflows using MLflow and Unity Catalog to ensure models are discoverable, reusable, and auditable. Build automated CI/CD pipelines using GitHub Actions, Azure DevOps, Databricks Asset Bundles, and Terraform to promote models, code, configurations, and supporting infrastructure consistently across development, test, and production environments. Deploy and maintain scalable model-serving infrastructure for batch, streaming, real-time, and API-based inference workloads using Databricks Model Serving, Azure Machine Learning, Databricks compute, serverless capabilities, and GPU-enabled configurations, as applicable. Establish automated testing and evaluation gates for model performance, data quality, fairness, safety, explainability, robustness, privacy, and release readiness. Implement model and feature monitoring, drift and bias detection, logging, tracing, alerting, and operational dashboards using MLflow Model Monitoring, Lakehouse Monitoring, and the broader platform monitoring stack. Develop automated retraining, champion/challenger promotion, rollback, and model-retirement workflows that prevent performance degradation and support reliable production operations. Integrate ML workflows with source control, infrastructure provisioning, secrets management, identity and access controls, environment management, and enterprise release processes. Implement Trustworthy AI controls, including model documentation, impact assessments, audit logging, content safeguards, human oversight, and evaluation evidence aligned with Government-approved standards and the NIST AI Risk Management Framework. Partner with data scientists, AI engineers, data engineers, platform engineers, DevSecOps, Security, and Governance personnel to make models repeatable, testable, deployable, and operationally supportable. Monitor compute and serving utilization, tune cluster and endpoint configurations, apply tagging conventions, and implement cost-optimization strategies for training and inference workloads. Troubleshoot failed pipelines, deployment issues, model-serving incidents, performance degradation, and monitoring alerts while supporting root-cause analysis and corrective actions. Create and maintain deployment templates, reusable repositories, operational runbooks, model documentation, release evidence, and technical standards that accelerate responsible AI/ML adoption across the enterprise. Basic Qualifications U.S. Citizenship is required due to federal contract requirements. Candidate must reside in the U.S., be authorized to work in the U.S., and all work must be performed in the U.S. Candidate must have lived in the U.S. for three (3) full years out of the last five (5) years. Bachelor's degree in Computer Science, Software Engineering, Machine Learning, Data Science, Engineering, or a related field or a high school diploma with four (4) additional years of relevant experience in lieu of a bachelor's degree. 6+ years of experience designing and supporting production machine learning solutions in cloud environments. Master's degree may substitute for two (2) years of relevant experience. Preferred Qualifications Experience with machine learning operations (MLOps), automated deployment pipelines, and model lifecycle management. Proficiency in Python and modern software development practices. Experience with source control systems and CI/CD frameworks. Hands-on experience with Azure Machine Learning, Databricks, MLflow, or comparable ML platforms. Experience implementing model monitoring, automated retraining, and performance tracking solutions. Knowledge of cloud-native architecture, containerization, and scalable model serving patterns. Experience supporting Responsible AI, AI governance, or Trustworthy AI initiatives. Familiarity with infrastructure-as-code and automated environment provisioning. Strong understanding of cloud cost optimization practices for AI/ML workloads. #Indeed Bot and Third-Party Applications Please note that this application must be submitted directly by the applicant for consideration. Failure to do so may result in the application being excluded for consideration. Applicants needing an accommodation for disability or religious purposes in connection with the application process should contact Candidateaccommodation@icf.com for assistance. Working at ICF ICF is a global advisory and technology services provider, but we're not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future. We can only solve the world's toughest challenges by building a workplace that allows everyone to thrive. We are an equal opportunity employer. Together, our employees are empowered to share their expertise and collaborate with others to achieve personal and professional goals. For more information, please read our EEO policy. We will consider for employment qualified applicants with arrest and conviction records. Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals with sincerely held religious beliefs, in all phases of the application and employment process. To request an accommodation, please email Candidateaccommodation@icf.com and we will be happy to assist. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. Read more about workplace discrimination rights or our benefit offerings which are included in the Transparency in (Benefits) Coverage Act. Candidate AI Usage Policy At ICF, we are committed to ensuring a fair interview process for all candidates based on their own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) tools to generate or assist with responses during interviews (whether in-person or virtual) is not permitted. This policy is in place to maintain the integrity and authenticity of the interview process. However, we understand that some candidates may require accommodation that involves the use of AI. If such an accommodation is needed, candidates are instructed to contact us in advance at candidateaccommodation@icf.com. We are dedicated to providing the necessary support to ensure that all candidates have an equal opportunity to succeed. Pay Range There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position. The pay range for this position based on full-time employment is: $98,614.00 - $167,644.00 Nationwide Remote Office (US99)
Description Please note: This role is contingent upon a contract award. While it is not an immediate opening, we are actively conducting interviews and extending offers in anticipation of the award. The Work At ICF our Digital Modernization Division is an information technology and management consulting organization that delivers integrated, strategic solutions to federal clients. We bring expertise in cloud, cybersecurity, enterprise architecture, data modernization, and digital transformation to support mission-critical government programs. Join a team accelerating the modernization of a large federal agency's enterprise data and analytics ecosystem. This cloud-based platform provides data storage, analytics, governance, and AI/ML capabilities that enable thousands of users to transform data into actionable insights. As demand continues to grow, the team is focused on migrating legacy workloads, streamlining onboarding and support, expanding platform capabilities, and helping organizations across the enterprise adopt modern data and AI solutions at scale. The ML Ops Engineer will develop and maintain machine learning pipelines, model registries, deployment frameworks, monitoring solutions, and automated workflows that support enterprise AI initiatives. Working closely with data scientists, data engineers, cloud architects, platform engineers, and Trustworthy AI stakeholders, this role enables the successful operationalization of machine learning capabilities across cloud-based environments. Job Location: Remote, however, strong preference for candidates who live in the Washington DC Metro Area. There will be occasional onsite meetings on the client site in Washington, DC. If you accept this position, you should note that ICF does monitor employee work locations, blocks access from foreign locations/foreign IP addresses, and prohibits personal VPN connections. What You'll Do Design, build, and maintain production-grade MLOps pipelines for model training, evaluation, validation, registration, deployment, monitoring, retraining, rollback, and retirement. Develop reusable MLOps and LLMOps patterns using Azure Databricks, Databricks ML, MLflow, Unity Catalog, Azure Machine Learning, Python, and approved Azure AI services. Implement experiment tracking, model versioning, model registries, lineage, quality metrics, model cards, and approval workflows using MLflow and Unity Catalog to ensure models are discoverable, reusable, and auditable. Build automated CI/CD pipelines using GitHub Actions, Azure DevOps, Databricks Asset Bundles, and Terraform to promote models, code, configurations, and supporting infrastructure consistently across development, test, and production environments. Deploy and maintain scalable model-serving infrastructure for batch, streaming, real-time, and API-based inference workloads using Databricks Model Serving, Azure Machine Learning, Databricks compute, serverless capabilities, and GPU-enabled configurations, as applicable. Establish automated testing and evaluation gates for model performance, data quality, fairness, safety, explainability, robustness, privacy, and release readiness. Implement model and feature monitoring, drift and bias detection, logging, tracing, alerting, and operational dashboards using MLflow Model Monitoring, Lakehouse Monitoring, and the broader platform monitoring stack. Develop automated retraining, champion/challenger promotion, rollback, and model-retirement workflows that prevent performance degradation and support reliable production operations. Integrate ML workflows with source control, infrastructure provisioning, secrets management, identity and access controls, environment management, and enterprise release processes. Implement Trustworthy AI controls, including model documentation, impact assessments, audit logging, content safeguards, human oversight, and evaluation evidence aligned with Government-approved standards and the NIST AI Risk Management Framework. Partner with data scientists, AI engineers, data engineers, platform engineers, DevSecOps, Security, and Governance personnel to make models repeatable, testable, deployable, and operationally supportable. Monitor compute and serving utilization, tune cluster and endpoint configurations, apply tagging conventions, and implement cost-optimization strategies for training and inference workloads. Troubleshoot failed pipelines, deployment issues, model-serving incidents, performance degradation, and monitoring alerts while supporting root-cause analysis and corrective actions. Create and maintain deployment templates, reusable repositories, operational runbooks, model documentation, release evidence, and technical standards that accelerate responsible AI/ML adoption across the enterprise. Basic Qualifications U.S. Citizenship is required due to federal contract requirements. Candidate must reside in the U.S., be authorized to work in the U.S., and all work must be performed in the U.S. Candidate must have lived in the U.S. for three (3) full years out of the last five (5) years. Bachelor's degree in Computer Science, Software Engineering, Machine Learning, Data Science, Engineering, or a related field or a high school diploma with four (4) additional years of relevant experience in lieu of a bachelor's degree. 6+ years of experience designing and supporting production machine learning solutions in cloud environments. Master's degree may substitute for two (2) years of relevant experience. Preferred Qualifications Experience with machine learning operations (MLOps), automated deployment pipelines, and model lifecycle management. Proficiency in Python and modern software development practices. Experience with source control systems and CI/CD frameworks. Hands-on experience with Azure Machine Learning, Databricks, MLflow, or comparable ML platforms. Experience implementing model monitoring, automated retraining, and performance tracking solutions. Knowledge of cloud-native architecture, containerization, and scalable model serving patterns. Experience supporting Responsible AI, AI governance, or Trustworthy AI initiatives. Familiarity with infrastructure-as-code and automated environment provisioning. Strong understanding of cloud cost optimization practices for AI/ML workloads. #Indeed Bot and Third-Party Applications Please note that this application must be submitted directly by the applicant for consideration. Failure to do so may result in the application being excluded for consideration. Applicants needing an accommodation for disability or religious purposes in connection with the application process should contact Candidateaccommodation@icf.com for assistance. Working at ICF ICF is a global advisory and technology services provider, but we're not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future. We can only solve the world's toughest challenges by building a workplace that allows everyone to thrive. We are an equal opportunity employer. Together, our employees are empowered to share their expertise and collaborate with others to achieve personal and professional goals. For more information, please read our EEO policy. We will consider for employment qualified applicants with arrest and conviction records. Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals with sincerely held religious beliefs, in all phases of the application and employment process. To request an accommodation, please email Candidateaccommodation@icf.com and we will be happy to assist. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. Read more about workplace discrimination rights or our benefit offerings which are included in the Transparency in (Benefits) Coverage Act. Candidate AI Usage Policy At ICF, we are committed to ensuring a fair interview process for all candidates based on their own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) tools to generate or assist with responses during interviews (whether in-person or virtual) is not permitted. This policy is in place to maintain the integrity and authenticity of the interview process. However, we understand that some candidates may require accommodation that involves the use of AI. If such an accommodation is needed, candidates are instructed to contact us in advance at candidateaccommodation@icf.com. We are dedicated to providing the necessary support to ensure that all candidates have an equal opportunity to succeed. Pay Range There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position. The pay range for this position based on full-time employment is: $98,614.00 - $167,644.00 Nationwide Remote Office (US99)
AI & Tech Breadcrumb Home > Generative AI Consultant Generative AI Consultant 415 Mission Street, 94105 San Francisco, United States I'm interested Share this job Company Description About Sia Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We're optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations in 19 countries. Our expertise delivers results. Our optimism transforms outcomes. Sia's AI & Data Business Unit is the powerhouse of our firm's innovation—merging cutting-edge Data Science, Generative AI, and advanced digital solutions to transform industries. With over 350 experts worldwide, we tackle projects from proof-of-concept to large-scale deployment, always pushing the boundaries of AI capabilities. Our 12 R&D labs in Europe and North America drive continuous research in areas like computer vision, MLOps, and deep learning, partnering closely with our business consultants for real-world impact. By joining Sia's AI & Data team, you'll step into a vibrant, collaborative environment that nurtures professional growth and empowers you to shape the future of AI-driven consulting. Job Description Join us as an experienced Generative AI Specialist designing and implementing cutting-edge GenAI/LLM solutions across diverse industries. You'll act as a vital bridge between technical teams (Data Science, ML, Platform) to deliver business-centric AI value. You'll guide clients on the optimal path—using techniques like RAG, agents, or fine-tuning—for cost-effective impact. Your responsibilities extend beyond prompting to architecting robust AI products via benchmarking, prototyping, and validation. You'll orchestrate the full AI workflow, ensuring seamless model integration optimized for performance, security, and scale, while tackling infrastructure challenges. We provide extensive training to support your success. If you're driven to push AI boundaries and help clients rapidly adopt GenAI with confidence, apply to make a real difference. Responsibilities LLM/GenAI System Development: Design, build, train, fine-tune, and deploy sophisticated AI models leveraging LLMs (e.g., GPT-x, Claude, Gemini, Llama, Mistral) and other generative techniques. Assist in Solution Architecture: Support the GenAI Solution Architect in designing robust, scalable, and secure applications. Application Development: Develop applications powered by GenAI models (both self-managed and API-accessible) that meet business needs and comply with applicable regulations (GDPR, EU AI Act, model licenses, etc.). Advanced Prompt Engineering: Design and optimize effective prompts (e.g., few-shot, Chain/Tree/Graph of Thought, ReAct, Self-reflection, guardrails), balancing simplicity and complexity to enhance analytical capabilities, refine outputs, improve user experience, and control interactions. RAG Implementation: Design and implement Retrieval-Augmented Generation (RAG) architectures to improve accuracy and relevance by retrieving information from pre-determined knowledge sources, providing traceability (source attribution). Model Selection & Fine-Tuning: Select and fine-tune appropriate models (including multimodal - VLM, SLM - Visual Language Models, Small Language Models) to create higher-quality content (text, image, audio, code, etc.) and maximize business value creation opportunities. Integration & Deployment (MLOps): Implement MLOps best practices for the GenAI lifecycle, including automated pipelines (CI/CD), versioning, monitoring, and maintenance in production environments (Cloud platforms like AWS, Azure, GCP). Ensure seamless integration into existing systems and with external tools/APIs, potentially utilizing standardized protocols (MCP). Evaluation & Responsible AI: Develop and execute rigorous evaluation frameworks to measure model performance, reliability, fairness, and safety. Ensure adherence to Responsible AI principles and help teams and clients navigate end-to-end security and compliance processes. Research & Innovation: Stay abreast of the latest advancements in GenAI techniques, technologies, and frameworks. Experiment with new approaches and contribute to internal knowledge sharing. Collaboration: Work effectively within cross-functional teams, communicating complex technical concepts clearly to diverse stakeholders (both technical and non-technical). Documentation: Document processes, methodologies, and best practices for knowledge sharing and future reference. Use Case Differentiation: Distinguish between use cases suited for Generative AI versus traditional NLP applications (e.g., NER, sentiment analysis). Qualifications Education : Master's degree or Engineering degree (or equivalent) in Computer Science, Engineering, Data Science, or a related quantitative field. Experience: 1-3+ years of hands-on experience in machine learning, software engineering, or data science, with demonstrated experience on complex AI projects specifically involving LLMs and Generative AI. Required Technical Skills Strong programming skills, particularly in Python. Proficiency in at least one major GenAI application framework (LangChain, LlamaIndex, etc.). Proven experience in NLP/NLU, vector embeddings, and semantic search. Hands-on experience with fine-tuning LLMs. Mastery of advanced prompting techniques (Chain/Tree/Graph of Thought, ReAct, etc.). Knowledge of both proprietary and open-source model ecosystems (OpenAI, Anthropic, Mistral AI, Hugging Face, models hosted on AWS/Azure/GCP, etc.). Experience with Cloud platforms (AWS, Azure, or GCP) and their associated MLOps/AI services. Familiarity with MLOps principles, CI/CD tools, Docker, and Git. Soft Skills Excellent communication skills (written and verbal), ability to explain complex technical concepts simply. Strong analytical and complex problem-solving abilities. Team player with the ability to collaborate effectively with diverse profiles. Curiosity, pioneering spirit, and a demonstrated commitment to continuous learning. Preferred Qualifications Experience building agentic AI systems (e.g., LangGraph, AutoGen). Experience with vector databases (e.g., pgvector, Pinecone, Chroma, OpenSearch). Experience developing conversational AI systems / chatbots. Familiarity with deep learning frameworks (PyTorch, TensorFlow). Understanding of or experience with protocols and standards for connecting LLMs to external tools and databases, such as Model Context Protocol (MCP). Experience deploying models at scale in production environments. Additional information Compensation & Benefits Base salary starting at $105,000, commensurate with experience and qualifications Annual Discretionary Bonus Healthcare coverage that includes 3 medical plan options: Anthem – EPO HSA, EPO HSA MERP, and PPO; dental and vision through MetLife; and life insurance policies through Mutual of Omaha Flexible Spending Account (FSA) Paid Time Off Parental leave paid at 100% of base pay for all new parents 9 Company Holidays + 1 Floating Holiday 401(k) Plan - 4% matching and vested on day 1 College save-up plan & college loan repayment plan Monthly cell phone stipend Pre-tax account for Parking and Mass Transit Sia provides several wellness and incentive programs free of charge through the firm medical plan – Anthem - such as: Gym Reimbursement LiveHealth Online Well-being Coach Building Healthy Families Program And much more Diversity, Equity, Inclusion & Belonging At Sia, we believe in fostering a diverse, equitable and inclusive culture where our employees and partners are valued and thrive in a sense of belonging. We are committed to recruiting and developing a diverse network of employees and investing in their growth by providing unique opportunities for professional and cultural immersion. Our commitment toward inclusion motivates dynamic collaboration with our clients, building trust by creating an inclusive environment of curiosity and learning which affects lasting impact. Please visit our website for more information. Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs. Office Workplace Guidelines Sia is committed to providing a flexible workplace environment that supports client, business, and market needs. Consultants located in our primary market office locations—New York City, Charlotte, Seattle, and San Francisco—are expected to live within a reasonable commuting distance and attend the office at least three days per week. For Consultants outside of our primary markets, we can offer more flexible in-person requirements in accordance with your location. Work Authorization & Sponsorship At this time, Sia does not intend to pursue employment with applicants who will require now or in the future visa by our company for work authorization in the United States (i.e., H1-B visa, F-1 visa (OPT), TN visa, or any other non-immigrant status). Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs. I'm interested
At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The O pportunity Supports the delivery of solution or infrastructure development services for AI/ML initiatives, applying strong technical capability and hands-on engineering experience. Contributes to the design, development, delivery, and maintenance of AI-enabled solutions or infrastructure while aligning to relevant engineering standards and project delivery expectations. Contributes to the integration of AI/ML capabilities into broader enterprise solutions, with a focus on quality, scalability, and user impact. Your Key Responsibilities Develop, test, and deploy, production-grade AI/ML, generative AI, and intelligent automation solutions. Support building and integrating LLM, RAG, and agentic solution components into enterprise applications and platforms. Support project delivery through disciplined execution, documentation, and status communication. Use modern AI-assisted software engineering tools such as Claude Code, Codex, or equivalent agentic coding platforms as part of day-to-day engineering delivery to improve delivery speed, code quality and engineering efficiency. AI and Engineering Skills: Gen AI Foundational: Demonstrated experience building retrieval-augmented systems that ground model outputs in enterprise knowledge sources, including chunking strategies, embedding pipelines, and retrieval optimization (e.g. LlamaIndex, LangChain, Pinecone, Weaviate, Azure AI Search, pgvector etc). Knowledge of embedding models, vector search, and semantic retrieval patterns used to ground LLM outputs in enterprise knowledge sources (e.g. OpenAI Embeddings, Azure AI Search, pgvector etc). Experience in prompt engineering techniques including zero-shot, few-shot, chain-of-thought, and structured output design, with the ability to systematically evaluate and iterate on prompt performance (e.g. DSPy, PromptFlow etc). Agentic and LLM Ops: Experience designing and building agentic systems including multi-agent orchestration patterns, tool use, and memory design across single and multi-step workflows (e.g. LangGraph, AutoGen, CrewAI, Semantic Kernel, NVIDIA NIM etc) Software Engineering: Hands-on software engineering proficiency in Python, with the ability to write clean, modular, production-quality code for LLM pipelines and agentic applications. Experience working with structured and unstructured data sets to support LLM application development, including data curation, preparation, and quality validation for model inputs. Familiarity with RESTful and event-driven API patterns including asynchronous workflows, service boundaries, and integration of enterprise data sources to expose LLM and agentic capabilities. Familiarity with containerization and orchestration concepts for packaging and deploying LLM applications in cloud environments (e.g. Docker, Kubernetes, Azure Container Apps, AWS ECS etc). Understanding of software engineering best practices as applied to ML systems, including modular code design, testing patterns for AI pipelines, and data quality validation. Soft Skills and additional attributes for success: Able to operate effectively as requirements, regulations, and technologies evolve. Collaborative and cross‑functional, working closely with engineering teams. Bachelor's degree preferred. 1+ years of applied engineering experience, including meaningful experience in AI/ML engineering roles. Demonstrated experience in the following areas will be a huge plus: Ability to understand business challenges and translate them into value-add AI solutions leveraging large language models and intelligent automation. Experience designing, building, and maintaining production-grade LLM applications, including end-to-end pipelines from data ingestion through model output delivery (e.g. Azure OpenAI, AWS Bedrock, Google Vertex AI etc). Familiarity with CI/CD and operationalization practices for AI systems, including model and workflow deployment, versioning, environment promotion, and release support in cloud or containerized environments. Familiarity with LLM fine-tuning approaches including instruction tuning and preference optimization, with an understanding of when fine-tuning is appropriate versus prompt-based solutions (e.g. LoRA, QLoRA, PEFT, NeMo Framework etc). Familiarity with responsible AI principles including bias and fairness evaluation, human-in-the-loop design, and explainability approaches in the financial services contexts. Familiarity with data pipeline design for AI workloads including ingestion, transformation, and quality validation. Familiarity with cloud-based platforms for building, training, and deploying scalable LLM solutions (e.g. Azure ML, AWS SageMaker, Google Vertex AI etc). What We Offer You At EY, we harness our collective strength to empower you to shape your future with confidence through professional growth, personal fulfillment and an inclusive culture. Learn more at ey.com/us/careers. We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job is: New York City, Boston, and Washington DC Metro Areas, Washington State, and Southern California offices – $56,000 to $103,800 Bay Area California offices – $58,300 to $108,100 All other offices locations in the US, including Sacramento – $46,700 to $95,200 Individual salaries within these ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being. Are you ready to shape your future with confidence? Apply today. To make the most of your application experience, please limit yourself to two applications within a six-month period. EY accepts applications for this position on an on-going basis. For those living in California, please click here for additional information. At EY, our values set the foundation for how we work and the behaviors we expect of our people. Any misrepresentation or falsification of information or lack of integrity at any point in the recruiting process may result in withdrawal of your candidacy, revocation of an offer or immediate termination of employment. EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. All in to shape the future with confidence. EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com.
About Sia Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We're optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations in 19 countries. Our expertise delivers results. Our optimism transforms outcomes. Sia's AI & Data Business Unit is the powerhouse of our firm's innovation—merging cutting-edge Data Science, Generative AI, and advanced digital solutions to transform industries. With over 350 experts worldwide, we tackle projects from proof-of-concept to large-scale deployment, always pushing the boundaries of AI capabilities. Our 12 R&D labs in Europe and North America drive continuous research in areas like computer vision, MLOps, and deep learning, partnering closely with our business consultants for real-world impact. By joining Sia's AI & Data team, you'll step into a vibrant, collaborative environment that nurtures professional growth and empowers you to shape the future of AI-driven consulting. Job Description Join us as an experienced Generative AI Specialist designing and implementing cutting-edge GenAI/LLM solutions across diverse industries. You'll act as a vital bridge between technical teams (Data Science, ML, Platform) to deliver business-centric AI value. You'll guide clients on the optimal path—using techniques like RAG, agents, or fine-tuning—for cost-effective impact. Your responsibilities extend beyond prompting to architecting robust AI products via benchmarking, prototyping, and validation. You'll orchestrate the full AI workflow, ensuring seamless model integration optimized for performance, security, and scale, while tackling infrastructure challenges. We provide extensive training to support your success. If you're driven to push AI boundaries and help clients rapidly adopt GenAI with confidence, apply to make a real difference. Responsibilities: LLM/GenAI System Development: Design, build, train, fine-tune, and deploy sophisticated AI models leveraging LLMs (e.g., GPT-x, Claude, Gemini, Llama, Mistral) and other generative techniques. Assist in Solution Architecture: Support the GenAI Solution Architect in designing robust, scalable, and secure applications. Application Development: Develop applications powered by GenAI models (both self-managed and API-accessible) that meet business needs and comply with applicable regulations (GDPR, EU AI Act, model licenses, etc.). Advanced Prompt Engineering: Design and optimize effective prompts (e.g., few-shot, Chain/Tree/Graph of Thought, ReAct, Self-reflection, guardrails), balancing simplicity and complexity to enhance analytical capabilities, refine outputs, improve user experience, and control interactions. RAG Implementation: Design and implement Retrieval-Augmented Generation (RAG) architectures to improve accuracy and relevance by retrieving information from pre-determined knowledge sources, providing traceability (source attribution). Model Selection & Fine-Tuning: Select and fine-tune appropriate models (including multimodal - VLM, SLM - Visual Language Models, Small Language Models) to create higher-quality content (text, image, audio, code, etc.) and maximize business value creation opportunities. Integration & Deployment (MLOps): Implement MLOps best practices for the GenAI lifecycle, including automated pipelines (CI/CD), versioning, monitoring, and maintenance in production environments (Cloud platforms like AWS, Azure, GCP). Ensure seamless integration into existing systems and with external tools/APIs, potentially utilizing standardized protocols (MCP). Evaluation & Responsible AI: Develop and execute rigorous evaluation frameworks to measure model performance, reliability, fairness, and safety. Ensure adherence to Responsible AI principles and help teams and clients navigate end-to-end security and compliance processes. Research & Innovation: Stay abreast of the latest advancements in GenAI techniques, technologies, and frameworks. Experiment with new approaches and contribute to internal knowledge sharing. Collaboration: Work effectively within cross-functional teams, communicating complex technical concepts clearly to diverse stakeholders (both technical and non-technical). Documentation: Document processes, methodologies, and best practices for knowledge sharing and future reference. Use Case Differentiation: Distinguish between use cases suited for Generative AI versus traditional NLP applications (e.g., NER, sentiment analysis). Qualifications Education : Master's degree or Engineering degree (or equivalent) in Computer Science, Engineering, Data Science, or a related quantitative field. Experience: 1-3+ years of hands-on experience in machine learning, software engineering, or data science, with demonstrated experience on complex AI projects specifically involving LLMs and Generative AI. Required Technical Skills: Strong programming skills, particularly in Python. Proficiency in at least one major GenAI application framework (LangChain, LlamaIndex, etc.). Proven experience in NLP/NLU, vector embeddings, and semantic search. Hands-on experience with fine-tuning LLMs. Mastery of advanced prompting techniques (Chain/Tree/Graph of Thought, ReAct, etc.). Knowledge of both proprietary and open-source model ecosystems (OpenAI, Anthropic, Mistral AI, Hugging Face, models hosted on AWS/Azure/GCP, etc.). Experience with Cloud platforms (AWS, Azure, or GCP) and their associated MLOps/AI services. Familiarity with MLOps principles, CI/CD tools, Docker, and Git. Soft Skills: Excellent communication skills (written and verbal), ability to explain complex technical concepts simply. Strong analytical and complex problem-solving abilities. Team player with the ability to collaborate effectively with diverse profiles. Curiosity, pioneering spirit, and a demonstrated commitment to continuous learning. Preferred Qualifications: Experience building agentic AI systems (e.g., LangGraph, AutoGen). Experience with vector databases (e.g., pgvector, Pinecone, Chroma, OpenSearch). Experience developing conversational AI systems / chatbots. Familiarity with deep learning frameworks (PyTorch, TensorFlow). Understanding of or experience with protocols and standards for connecting LLMs to external tools and databases, such as Model Context Protocol (MCP). Experience deploying models at scale in production environments. Additional Information Compensation & Benefits Base salary starting at $105,000, commensurate with experience and qualifications Annual Discretionary Bonus Healthcare coverage that includes 3 medical plan options: Anthem – EPO HSA, EPO HSA MERP, and PPO; dental and vision through MetLife; and life insurance policies through Mutual of Omaha Flexible Spending Account (FSA) Paid Time Off Parental leave paid at 100% of base pay for all new parents 9 Company Holidays + 1 Floating Holiday 401(k) Plan - 4% matching and vested on day 1 College save-up plan & college loan repayment plan Monthly cell phone stipend Pre-tax account for Parking and Mass Transit Sia provides several wellness and incentive programs free of charge through the firm medical plan – Anthem - such as: Gym Reimbursement LiveHealth Online Well-being Coach Building Healthy Families Program And much more Diversity, Equity, Inclusion & Belonging At Sia, we believe in fostering a diverse, equitable and inclusive culture where our employees and partners are valued and thrive in a sense of belonging. We are committed to recruiting and developing a diverse network of employees and investing in their growth by providing unique opportunities for professional and cultural immersion. Our commitment toward inclusion motivates dynamic collaboration with our clients, building trust by creating an inclusive environment of curiosity and learning which affects lasting impact. Please visit our website for more information. Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs. Office Workplace Guidelines Sia is committed to providing a flexible workplace environment that supports client, business, and market needs. Consultants located in our primary market office locations—New York City, Charlotte, Seattle, and San Francisco—are expected to live within a reasonable commuting distance and attend the office at least three days per week. For Consultants outside of our primary markets, we can offer more flexible in-person requirements in accordance with your location. Work Authorization & Sponsorship At this time, Sia does not intend to pursue employment with applicants who will require now or in the future visa by our company for work authorization in the United States (i.e., H1-B visa, F-1 visa (OPT), TN visa, or any other non-immigrant status). Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.