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Job Title: AI Prompt Engineer Job Category: Information Technology Time Type: Full time Minimum Clearance Required to Start: None Employee Type: Regular Percentage of Travel Required: Up to 10% Type of Travel: Local The Opportunity CACI is seeking a forward-thinking AI Prompt Engineer to join a team delivering innovative AI solutions in support of U.S. Customs and Border Protection (CBP). This is a unique opportunity to apply cutting-edge generative AI technologies to one of the nation's most critical missions. In this role, you will help modernize how frontline personnel access information, make decisions, and execute their work. By leveraging AI-powered tools and large language models, you will develop solutions that improve efficiency, enhance situational awareness, and accelerate access to mission-critical information. Your work will directly support the men and women responsible for protecting our nation's borders, facilitating lawful trade and travel, and safeguarding our nation. You will be part of CACI's Agile Solution Factory, a collaborative environment focused on rapid innovation, experimentation, and continuous learning. We are seeking individuals who combine creativity, technical curiosity, and a passion for exploring the evolving capabilities of AI. The ideal candidate can translate complex operational challenges into practical, high-impact AI solutions that deliver measurable value to mission users. Candidates will participate in a structured AI Prompt Engineering training program prior to transitioning to a client facing assignment. Responsibilities Prompt Design & Optimization: Develop, refine, and iterate on prompts for various generative AI models (LLMs) to elicit desired behaviors, responses, and creative outputs. Iterative Testing & Analysis: Conduct testing to compare prompt variations, analyze results drive continuous improvement. Collaboration: Work closely with multiple groups to integrate prompts to streamline manual processes. Research & Development: Stay abreast of the latest advancements in LLMs, generative AI, and prompt engineering techniques. Fine-tuning & RAG Support: Provide input and collaborate on strategies for model fine-tuning and Retrieval Augmented Generation (RAG) to further improve accuracy. Problem Solving: Debug unexpected model behaviors, identifying root causes within prompt structure, model limitations, or data context. Qualifications Required: Must be a U.S. Citizen with the ability to pass CBP background investigation, criteria include, but not limited to: 3-year check for felony convictions 1 year check for illegal drug use 1 year check for misconduct such as theft or fraud High School diploma or equivalent completed prior to start Must be available to work onsite in Ashburn, VA and/or Washington, D.C. Problem-solving skills, with a data-driven approach to experimentation and optimization. Written and verbal communication skills, with an ability to articulate complex technical concepts clearly. Ability to work independently and collaboratively in a fast-paced, evolving environment. Desired Software development experience, internships, or relevant academic project work. Hands-on experience working with Large Language Models (e.g., OpenAI GPT series, Llama, Gemini) or other generative AI models. Experience with any programming language (Python, JavaScript/TypeScript, etc.) Familiarity with prompt engineering techniques (few-shot, chain-of-thought, structured outputs, function calling) Exposure to RAG concepts, including embeddings and vector databases Understanding of AI safety considerations (e.g., prompt injection, bias, data privacy) Exposure to Agile/Scrum development environments This position is contingent on funding and may not be filled immediately. However, this position is representative of positions within CACI that are consistently available. Individuals who apply may also be considered for other positions at CACI. What You Can Expect A culture of integrity. At CACI, we place character and innovation at the center of everything we do. As a valued team member, you'll be part of a high-performing group dedicated to our customer's missions and driven by a higher purpose – to ensure the safety of our nation. An environment of trust. CACI values the unique contributions that every employee brings to our company and our customers - every day. You'll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality. A focus on continuous growth. Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground — in your career and in our legacy. Pay Range There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. Since this position can be worked in more than one location, the range shown is the national average for the position. The Proposed Salary Range For This Position Is $39,400-$72,600 CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.

At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations. Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more. Join us to drive positive, lasting change that moves missions and the government forward! Build AI that matters . We ship production GenAI apps for confidential federal programs across defense, national security, public safety, civilian, and military health where reliability, privacy, and safety aren't optional. AFS is a technology company within global Accenture and a Glassdoor Top 100 Best Place to Work. You'll join a collaborative, inclusive community with hands-on growth, certifications, and industry training. We ship in weeks, not quarters, and measure success with latency, reliability, safety, and cost. Confidentiality matters: We don't disclose program details publicly. If you advance, we'll share specifics during the process. Role Overview You'll turn mission needs into secure, reliable, and scalable GenAI applications no model training required. This is a hands-on role across agentic workflows, RAG, prompt/policy design, LLM evaluation, and platform integration. You'll own the end-to-end path from use case evaluation → production deployment → operational excellence, partnering with product, security, data, and SRE to ship features safely and at scale. What You'll Do (Day To Day) Design & ship mission grade GenAI: Build agentic workflows and RAG systems tailored to mission data and environments; target low hallucination, tight p95 latency, and predictable cost. Agent frameworks & orchestration: Apply patterns from LangChain/LlamaIndex/Semantic Kernel; design task decomposition, tool use, guardrails, and recovery/fallback strategies. Platform integration (no model training): Implement with AWS Bedrock, Azure OpenAI, Google Vertex AI, Amazon Kendra, and managed services (e.g., Document AI, Gemini, Gemma). LLM selection & evaluation: Compare models for quality, safety, latency, cost; author/test prompts & policies; deploy with observability and safe rollback/fallback. RAG done right: Build retrieval pipelines & vector search (Pinecone, Weaviate, OpenSearch, pgvector, FAISS/Chroma); handle data prep, chunking, metadata, and IRstyle evals (e.g., NDCG) to maximize signal to noise. Production rigor: Instrument metrics/logs/traces; run A/B experiments; maintain incident playbooks; and implement safety & compliance guardrails. SRE & FinOps for AI: Define SLIs/SLOs (quality/latency/safety/cost), run on call and postmortems, reduce MTTR; meter usage and optimize token/spend. Reusable platform components: Ship SDKs, CI/CD templates, Terraform/IaC modules, evaluation harnesses that accelerate multiple mission team not one-off projects. Operate in real world constraints: Deliver into hybrid, restricted, or air gapped environments with Zero Trust principles and audit ready controls. You'll Thrive Here If you have Built and deployed a production GenAI application (chatbot, copilot, assistant, or enterprise AI). Hands-on with LLMs GPT, Claude, Llama, Gemini, Mistral, via APIs or self-hosted. Designed and implemented RAG solutions using embeddings, vector databases, and semantic search for enterprise or mission data. Shipped AI applications with frameworks like LangChain, LangGraph, LlamaIndex, Semantic Kernel, DSPy, or similar. Strong Python development for building and integrating AI/ML applications. Owned AI solutions through full production life cycle, deployment and operational support. Active U.S. citizenship. Nice to Have Integration with leading cloud AI services or on prem inference stacks Background in LLM evaluation, prompt authoring/testing, A/B experimentation, and LLM Ops. Responsible AI expertise (privacy, security, bias, transparency, human in the loop) and data governance. Experience implementing tool using agents for API integration and external data access. Containerization & orchestration (Docker, Kubernetes, VMware) and scripting/automation (Linux Bash, PowerShell). Prior work in regulated/secure environments (e.g., ATO, STIGs, Zero Trust) with fast shipping. Familiarity with NVIDIA AI Foundations, OpenAI ChatGPT, and AI assisted dev tools (Cursor, Windsurf, Claude). Contributions to internal frameworks or opensource; mentorship of engineers. Clear communication with engineers, PMs, and security/compliance stakeholders. As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of California, Colorado, Connecticut, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Ohio, Vermont, Virginia, Washington, and the District of Columbia . The base pay range for this position in these locations is shown below. Compensation for roles at Accenture Federal Services varies depending on a wide array of factors, including but not limited to office location, role, skill set, and level of experience. Accenture Federal Services offers a wide variety of benefits. You can find more information on benefits here. We accept applications on an on-going basis and there is no fixed deadline to apply. The pay range for the states of California, Colorado, Connecticut, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Ohio, Vermont, Virginia, Washington, and the District of Columbia is: $103,200—$203,400 USD What We Believe As a company wholly dedicated to serving the US federal government, we bring together the best talent to help reinvent how federal agencies operate and deliver greater value for their mission and the American people. We have an unwavering commitment to creating a culture in which all our people are respected, feel a sense of belonging, and have equal opportunity. As a business imperative, every person at Accenture Federal Services has the responsibility to create and sustain a culture where everyone feels welcomed and included. This is grounded in our core values and our experience that hiring and developing great people who reflect different perspectives, experiences, and backgrounds is key to driving innovation and delivering the results that our clients and the country count on. Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. For details, view a copy of the Accenture Federal Services Equal Opportunity Policy Statement. Accenture Federal Services is an Equal Employment Opportunity employer. Additionally, as an Affirmative Action Employer for Veterans and Individuals with Disabilities, Accenture Federal Services is committed to providing veteran employment opportunities to our service men and women. Requesting An Accommodation Accenture Federal Services is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture Federal Services and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired. If you are being considered for employment opportunities with Accenture Federal Services and need an accommodation for a disability or religious observance during the interview process or for the job you are interviewing for, please speak with your recruiter. Other Employment Statements Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States. Candidates who are currently employed by a client of Accenture Federal Services or an affiliated Accenture business may not be eligible for consideration. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. The Company 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. Additionally, 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 Company's legal duty to furnish information. California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information.

About HappyRobot HappyRobot is the infrastructure for enterprises to build and orchestrate AI workforces. Our AI workers don't just communicate through voice and email - they make decisions, take action, and run operations autonomously across entire enterprise systems. Born in Y Combinator (S23) and backed by a16z, Base10, Prysm Capital and Eurazeo with over $200M raised, we power critical operations for global enterprises worldwide. Our platform is battle-tested in the most demanding environments, where AI has real consequences. We started in logistics, built our own voice stack, models, and orchestration layer from the ground up, and are now bringing that infrastructure to every enterprise that runs the real economy. Learn more about our vision in our manifesto. Role Overview We are looking for a Deployment Strategist to join our team. In this role, you'll partner with Forward Deployed Engineers (FDEs) across the full deployment lifecycle, from first discovery conversation to live production. You'll lead use case discovery and scoping with senior customer stakeholders, ship prototypes hands-on to prove value early, then stay close to the build through delivery to bring the strategic, business-value lens to every decision. You're the partner who keeps the work pointed at the highest-impact outcomes, ready to pick up the keyboard alongside the FDE when the moment calls for it. We're looking for engineers with strategic instincts: people who can write code, but whose deepest strength is the strategic, opinionated lens they bring across every phase of a deployment - spotting where value lives, scoping it realistically, and partnering with engineers to capture it from prototype to production. At HappyRobot, there's no role seniority or hierarchy. We operate as a team of builders. We execute, we build, we own, and we care deeply about our customers and their success. What You'll do Strategic Leadership and Use Case Discovery: Partner with Global and Regional C-Level executives and VPs to assess AI opportunities and prioritize the highest-impact use cases. Lead curiosity-driven discovery that surfaces the workflows where AI creates the most business value, well beyond what the customer thought to ask for. Build the trusted relationships that let you present findings and challenge assumptions at the most senior levels, keeping technical delivery aligned with their business priorities. Scoping : Frame impact versus effort with rigor on both axes. On business value, pressure-test the realistic upside, question whether the use case as posed will actually deliver the most impact, and explore whether reframing it or pivoting to an adjacent process would unlock more. The art is deeply understanding how to maximize value of this use case for the customer, not just delivering what was asked for. On technical effort, map integrations, data, and platform constraints, and surface the edge cases and dependencies that shape timelines. Land on a plan that's realistic on both. Prototyping : Build prototypes and demos hands-on. Use our platform and AI-powered coding tools to test ideas end-to-end at light scope. Prove value early, before the customer commits. Program Management : Coordinate work across the active deployments in an account. Be the escalation point for the customer and the watchout partner for the FDE. Stay close enough to the build that you both understand the use case deeply, spot opportunities to capture more value, and catch when work is drifting from the highest-impact path. Prioritization : Sequence use cases within an account so each deployment compounds the next. Make the call on what gets built when, what gets parked, and where to invest discovery and building time. Customer Partnership : Be the main business-side point of contact for the account. Build trust with operational and executive stakeholders day-to-day. Translate AI capabilities into language they can act on. Onsite Embedding : Travel onsite for kickoffs, mapping sessions, and key moments where being on the ground changes the outcome. Product Feedback Loop : Bring field signal back to Product and Engineering. Identify reusable patterns, common edge cases, and where the platform needs to evolve. Must Have Background that mixes technical depth with strategic instinct, and a real history of building things. Common paths include engineering (Computer Science, electrical, industrial, systems), data science, founding a tech startup, product management, or technical / strategic consulting. Comfortable coding -mostly Python- using LLMs and AI-powered tools like Claude Code to ship prototypes fast. Working understanding of APIs, integrations, and how AI agents sit inside enterprise workflows. Strategic instinct: ability to spot the business value behind a workflow and translate it into impact, effort, and prioritization terms a C-level can act on. Excellent communication skills with both executives and operators. Comfortable translating between business and technical without losing either side. Proven ability to prioritize ruthlessly across multiple workstreams and drive outcomes, not just activity. Founder mindset: highly independent, takes ownership, and thrives in a fast-paced environment. Why join us? Join a world-class team of engineers and builders. Backed by top investors including a16z, Y Combinator, Base10, Prysm Capital and Eurazeo. Have ownership and autonomy of projects and are encouraged to ship. Comprehensive Benefits including healthcare, dental, vision coverage. Competitive salary + equity in a high-growth startup. Our Operating Principles Extreme Ownership We take full responsibility for our work, outcomes, and team success. No excuses, no blame-shifting — if something needs fixing, we own it and make it better. This means stepping up, even when it's not "your job." If a ball is dropped, we pick it up. If a customer is unhappy, we fix it. If a process is broken, we redesign it. We don't wait for someone else to solve it — we lead with accountability and expect the same from those around us. Craftsmanship Putting care and intention into every task, striving for excellence, and taking deep ownership of the quality and outcome of your work. Craftsmanship means never settling for "just fine." We sweat the details because details compound. Whether it's a product feature, an internal doc, or a sales call — we treat it as a reflection of our standards. We aim to deliver jaw-dropping customer experiences by being curious, meticulous, and proud of what we build — even when nobody's watching. We are "majos" Be friendly & have fun with your coworkers. Always be genuine & honest, but kind. "Majo" is our way of saying: be a good human. Be approachable, helpful, and warm. We're building something ambitious, and it's easier (and more fun) when we enjoy the ride together. We give feedback with kindness, challenge each other with respect, and celebrate wins together without ego. Urgency with Focus Create the highest impact in the shortest amount of time. Move fast, but in the right direction. We operate with speed because time is our most limited resource. But speed without focus is chaos. We prioritize ruthlessly, act decisively, and stay aligned. We aim for high leverage: the biggest results from the simplest, smartest actions. We're running a high-speed marathon — not a sprint with no strategy. Talent Density and Meritocracy Hire only people who can raise the average; 'exceptional performance is the passing grade.' Ability trumps seniority. We believe the best teams are built on talent density — every hire should raise the bar. We reward contribution, not titles or tenure. We give ownership to those who earn it, and we all hold each other to a high standard. A-players want to work with other A-players — that's how we win. First-Principles Thinking Strip a problem to physics-level facts, ignore industry dogma, rebuild the solution from scratch. We don't copy-paste solutions. We go back to basics, ask why things are the way they are, and rebuild from the ground up if needed. This mindset pushes us to innovate, challenge stale assumptions, and move faster than incumbents. It's how we build what others think is impossible. The personal data provided in your application and during the selection process will be processed by Happyrobot, Inc., acting as Data Controller. By sending us your CV, you consent to the processing of your personal data for the purpose of evaluating and selecting you as a candidate for the position. Your personal data will be treated confidentially and will only be used for the recruitment process of the selected job offer. In relation to the period of conservation of your personal data, these will be eliminated after three months of inactivity in compliance with the GDPR and legislation on the protection of personal data. If you wish to exercise your rights of access, rectification, deletion, portability or opposition in relation to your personal data, you can do so through ----- subject to the GDPR. For more information, visit https://www.happyrobot.ai/privacy-policy By submitting your request, you confirm that you have read and understood this clause and that you agree to the processing of your personal data as described. Find more English Speaking Jobs in Germany on Arbeitnow

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 selected candidate Leads the design, development, and deployment of advanced generative AI models, including large language models (LLMs), driving innovation and solving complex business challenges Oversees the end-to-end data science lifecycle, from data acquisition and preprocessing to model validation and optimization, ensuring best practices and high-quality outcomes Works on developing and deploying machine learning algorithms, ensuring models are optimized for performance and scalability Mentors and guides junior data scientists, fostering a collaborative environment and promoting knowledge sharing of cutting-edge techniques and tools Partners with cross-functional teams to integrate AI-driven insights into products and services, translating sophisticated models into practical, scalable solutions that drive measurable impact Your Key Responsibilities Include Implementing AI solutions that integrate seamlessly with existing business systems to enhance functionality and user interaction. Reviewing complex data sets to establish data quality and highlighting where data cleansing is required to remediate the data Designing and implementing data models to manage data within the organization, Migrating data from one system to another using multiple sources, identifying and implementing storage requirements Analyzing the latest trends such as cloud computing and distributed processing, and their uses in business, building industry knowledge Peer reviewing models and working with relevant business areas to seek their input and ensuring they are fit for the designed purpose Automating important infrastructure for the data science team. Staying current with AI trends and suggesting improvements to existing systems and workflows. Skills And Attributes For Success 8+ years' experience in machine learning, large scale data acquisition, transformation, and cleaning, both structured and unstructured data Experience with generative LLM fine-tuning and prompt engineering. Proficiency with data wrangling, visualization, and modeling in Python Experience in ML/NLP algorithms, including supervised and unsupervised learning. Good knowledge with cloud ecosystems, Azure is preferred Experience in machine learning frameworks and tools (e.g., sci-kit-learn, Keras, TensorFlow, MXNet, PyTorch, MLlib) Strong programming skills in Python Experience with tools in the distributed computing, GPU, cloud platforms, and Big Data domains (e.g., GCP, AWS, MS Azure, Hadoop, Spark, Databricks) is a plus Experience with SQL, Document DBs and Vector DBs Batch Processing - Capability to design an efficient way of processing high volumes of data where a group of transactions is collected over a period Data Visualization and storytelling - Capability to assimilate and present data, as well as more advanced visualization techniques. Capability to engage and explain data creating a narrative around data visualization Knowledge of containerization platforms like Docker is a plus. Experience with Git and modern software development workflow. Non-Technical Skills: Strong team and business communication skills – can walk through and approach with technical clients or explain tricky concepts to non-technical people Must thrive in a fast-paced environment and be able to work independently. Excellent in communication skills Education Bachelor/Master/PG in Artificial Intelligence, Analytics, Data Science, Computer Science, Engineering, Information Technology, Social Sciences or related fields preferred What We Look For Strong analytical skills and problem-solving ability A self-starter, independent-thinker, curious and creative person with ambition and passion Excellent inter-personal, communication, collaboration, and presentation skills Customer focused Excellent time management skills Positive and constructive minded Takes responsibility for continuous self-learning Takes the lead and makes decisions in critical times and tough circumstances Attention to detail High levels of integrity and honesty What We Offer You The compensation ranges below are provided in order to comply with United States pay transparency laws. Other geographies will follow their local salary guidelines, which may not be a direct conversion of published US salary ranges. At EY, we'll develop you with future-focused skills and equip you with world-class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more. 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 in all geographic locations in the US is $92,600 to $173,100. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $111,100 to $196,800. Individual salaries within those 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. Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. 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. EY accepts applications for this position on an on-going basis. For those living in California, please click here for additional information. EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. 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. 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.

Senior Data Scientist What if your next AI model could help accelerate a medical breakthrough, uncover a critical scientific insight, or help researchers solve some of humanity's greatest challenges ?At Elsevier, data science is about far more than algorithms and model performance. It is about applying advanced AI to help researchers, clinicians, educators, and institutions discover knowledge, assess evidence, generate insights, and advance science for the benefit of society .Every day, millions of researchers rely on our products to navigate an ever-growing universe of scientific information. As a Senior Data Scientist, you will help build the intelligent systems that make scientific knowledge more discoverable, trustworthy, connected, and actionable .This is AI with purpose. This is technology in service of scientific progress . About the Rol e; As a Senior Data Scientist, you will design, build, evaluate, and scale advanced AI solutions that power scientific discovery, research intelligence, knowledge enrichment, and decision support across the global research ecosyst em.You will work on some of the most challenging problems in applied AI, combining machine learning, natural language processing, large language models, retrieval systems, knowledge graphs, and generative AI to help researchers uncover insights faster and make better decisio ns.Success in this role requires deep technical expertise, sound judgment, scientific rigor, and the ability to transform complex problems into trusted, production-ready AI solutions that create measurable impa ct. About the te am; As part of a growing team of Data Scientists, you will take on some of the hardest problems in science. This team is building intelligent systems that can reason across scientific publications, research data, knowledge graphs, ontologies, metadata, taxonomies, citations, and content spanning every scientific discip line What You 'll DoDesign, develop, and deploy advanced machine learning, NLP, retrieval, and generative AI solutions that support scientific discovery and knowledge explor ation.Build and optimize LLM-powered applications, including question answering, literature summarization, semantic search, research insight generation, and evidence-grounded AI experi ences.Develop retrieval-augmented generation (RAG) systems that connect AI models with trusted scientific and scholarly co ntent.Create intelligent capabilities for search, ranking, recommendation, entity extraction, classification, enrichment, and decision su pport.Design evaluation frameworks that measure quality, relevance, reliability, grounding, trustworthiness, and user i mpact.Integrate knowledge graphs, ontologies, taxonomies, citations, metadata, and scientific domain knowledge into AI work flows.Partner with engineering teams to produce, monitor, optimize, and continuously improve AI systems at scale.Lead technical discovery, influence solution architecture, and guide methodological decisions across initia tives.Mentor fellow data scientists and contribute to a culture of technical excellence, experimentation, and responsib le AI.Collaborate closely with Product, Engineering, Research, Editorial, UX, and domain experts to solve complex scientific and business chall enges. What We're Look ing ForSignificant hands-on experience in Data Science, Machine Learning, Artificial Intelligence, NLP, Information Retrieval, Statistics, Computer Science, or a related quantitative disc ipline.Advanced expertise in developing and deploying machine learning, NLP, retrieval, and generative AI solutions in production enviro nments.Experience working with modern LLMs, prompt engineering, model evaluation, retrieval systems, and AI-powered wor kflows.Extensive Python programming skills and a track record of building maintainable, production-quality so ftware.Experience designing and implementing RAG systems, semantic search, vector retrieval, embeddings, ranking, or recommendation sol utions.Deep understanding of machine learning fundamentals, experimentation, model evaluation, statistical analysis, and performance measu rement.Experience with modern AI and ML frameworks such as PyTorch, TensorFlow, Hugging Face, LangChain, LangGraph, or equivalent techno logies.Experience working with large-scale structured, semi-structured, and unstructured datasets, particularly text-rich or content-heav y data.A passion for advancing science, expanding access to knowledge, and building AI systems that create meaningful real-world impact. Why Join ElsevierBecause your work wil l matter.You will help build AI systems that enable researchers to discover knowledge faster, uncover hidden connections, assess evidence more effectively, and accelerate scientific progress around t he world.You will have the opport unity to:Solve some of the most challenging AI problems in science and knowledge d iscovery.Work with one of the world's richest collections of scientific, biomedical, and schola rly data.Build next-generation AI systems using LLMs, retrieval, knowledge graphs, semantic search, and gener ative AI.Create trusted technologies that support researchers, clinicians, educators, institutions, and innovators w orldwide.Influence how AI is designed, evaluated, governed, and trusted in high-impact scientific envi ronments.Collaborate with exceptional colleagues across data science, engineering, product, research, editorial, and domain e xpertise.Mentor others while helping shape the future of AI-powered scientific d iscovery.Contribute directly to a mission dedicated to advancing science, improving health outcomes, and expanding human k nowledge.

Location: Hybrid, 1 day/week onsite (Dallas or Mountain View) 8–10-year experience Any visa will work Key Requirements Strong hands-on experience building GenAI and LLM-based applications. Experience with RAG (Retrieval Augmented Generation) architecture and AI assistants. Expertise in Prompt Engineering, LLM fine-tuning, evaluation, and model optimization. Strong Python development skills with production-level application experience. Experience with LangChain, LlamaIndex, and Vector Databases. Knowledge of conversational guardrails, AI safety, response validation, and hallucination prevention. Experience deploying scalable AI solutions in AWS or Google Cloud Platform environments.

JOB DESCRIPTION Vice President AI/ML Software Engineer At BNY, our culture allows us to run our company better and enables employees' growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world's investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. Recognized as a top destination for innovators and champions of inclusion, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what is all about. Join us and be part of something extraordinary. We are seeking a Vice President AI/ML Software Engineer to design and implement agentic AI systems, RAG pipelines, and intelligent document processing services. This is a senior individual contributor role with high autonomy -- you will own significant components of our AI platform, from embedding pipelines and vector retrieval to multi-agent extraction workflows. You will work closely with the SVP lead to translate architectural vision into production code, while mentoring mid-level engineers and driving technical excellence across the team. This role is in New York, NY What Sets This Role Apart You build the agent framework, not just configure one -- custom orchestration engine, not a LangChain wrapper - Production AI with real consequences -- extraction accuracy directly impacts financial operations - Full RAG ownership -- from raw OCR bytes through embedding, retrieval, and generation - Evaluation-driven culture -- golden-truth datasets, automated regression, measurable quality gates - Greenfield AI + enterprise integration -- build new AI-native systems that plug into established platforms In this role, you'll have the opportunity to impact on our organization in the following ways: AI Systems Development Implement agentic pipelines: agent loops, tool registries, memory stores, reasoning traces, and self-correction mechanisms - Build and optimize RAG systems end-to-end: - Document ingestion and preprocessing (OCR output, PDFs, structured/unstructured text) - Chunking strategies (section-aware, semantic, sliding window, hierarchical) - Embedding generation and vector index management - Retrieval orchestration: hybrid search, metadata filtering, re-ranking - Context assembly and prompt construction for downstream LLM calls - Develop vectorization pipelines -- embedding model integration, batch processing, incremental index updates, and similarity search tuning - Implement multi-agent coordination patterns: shared blackboards, inter-agent messaging, task decomposition, and consensus mechanisms - Build prompt engineering infrastructure: template management, few-shot example selection, chain-of-thought scaffolding, and output parsing - Develop evaluation harnesses: automated accuracy measurement, retrieval quality metrics, regression detection, and A/B comparison tooling Platform & Backend Engineering Build FastAPI services exposing AI capabilities as production APIs (extraction, validation, classification) - Contribute to Java/Spring Boot platform services where AI integrates with business workflow - Design and maintain database schemas for AI metadata: audit trails, pipeline runs, memory entries, knowledge graphs - Implement content policy enforcement and data governance controls within AI pipelines Mentorship & Collaboration Mentor 2-3 mid-level engineers on AI engineering practices - Participate in architecture reviews and design sessions - Document patterns, decisions, and runbooks for AI system operation - Collaborate with product and business stakeholders to translate requirements into technical solutions To be successful in this role, we're seeking the following: Bachelor's degree in Computer Science, Engineering, or related field. - Advanced degree preferred. 6+ years of professional software engineering experience - 2+ years building production AI/ML systems (not just notebooks/prototypes. Strong problem-solving skills with the ability to manage complex data processes. - Excellent collaboration and communication skills to work effectively with cross-functional teams. ) Strong RAG expertise: Embedding models (OpenAI, sentence-transformers, Cohere, or similar) - Vector databases (FAISS, Pinecone, Weaviate, Chroma, pgvector, or similar) - Chunking and retrieval optimization - Context window management and prompt assembly Agentic AI experience: Agent orchestration (custom frameworks, LangGraph, or similar) - Tool-use patterns, function calling, structured output parsing - Memory and state management for multi-turn agent interactions - Python proficiency (3.11+): FastAPI, async patterns, Pydantic, Poetry, pytest - LLM integration: prompt engineering, token management, streaming, error handling, rate limiting - NLP & document processing: OCR post-processing, text segmentation, entity extraction - Testing rigor: unit tests, integration tests, golden-truth validation, retrieval metric evaluation - API design: RESTful services, OpenAPI specifications, versioning strategies Preferred Qualifications Experience with knowledge graph construction from unstructured text - Familiarity with code AI concepts: code generation, automated testing, AI-assisted refactoring - Java/Spring Boot experience for cross-stack contribution - Angular/TypeScript for full-stack context - Experience with model evaluation: F1 scores, precision/recall for extraction, MRR/NDCG for retrieval - Exposure to fine-tuning or prompt optimization techniques - Understanding of graph RAG or hybrid retrieval architectures - Capital markets or financial services domain exposure - Experience with enterprise deployment: Docker, CI/CD, artifact repositories Technology Stack AI/Agentic: Multi-agent pipelines, tool-use, autonomous extraction, reasoning loops RAG: Embedding models, vector stores, hybrid search, chunking, re-ranking LLM: Azure OpenAI, GPT-4o, structured outputs, function calling Python: Python 3.12/3.13, FastAPI, Poetry, Pydantic, Gunicorn/Uvicorn Java: Java 21, Spring Boot 3.x (contributory) NLP/OCR: Azure Document Intelligence, NLTK, document graph parsing Database: Oracle, PostgreSQL, vector databases Infrastructure: Docker, GitLab CI/CD Testing: Pytest, golden-truth validation, retrieval metrics, evaluation harnesses Our Benefits And Rewards: BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life's journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter. BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans. This position is at-will and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation) at any time, including for reasons related to individual performance, change in geographic location, Company or individual department/team performance, and market factors. ABOUT US At BNY, our culture allows us to run our company better and enables employees' growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world's investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what is all about. Join us and be part of something extraordinary. ABOUT THE TEAM At BNY, our culture speaks for itself, check out the latest BNY news at BNY Newsroom & BNY LinkedIn Here's a Few Of Our Recent Awards: America's Most Innovative Companies, Fortune, 2025 World's Most Admired Companies, Fortune 2025 "Most Just Companies", Just Capital and CNBC, 2025 Our Benefits And Rewards: BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life's journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter. BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans. BNY assesses market data to ensure a competitive compensation package for our employees. The expected base salary for this position when employment commences can be found in the Job Info section at the bottom of the posting. Base salary offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. Base salary is only part of the total rewards package, which may include eligibility for an annual discretionary incentive award. Subject to the terms and conditions of the applicable plans then in effect, eligible employees may enroll in a 401(k) plan as well as participate in Company-sponsored medical, dental, vision, and basic life insurance plans for the employee and the employee's eligible dependents. Eligible employees also may receive other benefits (including various paid time off benefits, such as vacation and sick time), dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, the employee will be in an "at will" position and the Company reserves the right to modify base salary (as well as any other discretionary payments or compensation programs) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.

Overview Being good neighbors – helping people, investing in our communities, and making the world a better place – is who we are at State Farm. It is at the core of how we operate and the reason for our success. Come join a #1 team and do some good! HYBRID: Qualified candidates must live or relocate within a 180-mile radius of a hub location listed below and should plan to spend time working from home and some time working in the office as part of our hybrid work environment. HUB LOCATIONS: Bloomington, IL; Dunwoody, GA; Richardson, TX; or Tempe, AZ SPONSORSHIP: Applicants for this position are required to be eligible to lawfully work in the U.S. immediately; employer will not sponsor applicants for U.S. work authorization (e.g. H-1B visa) for this opportunity Responsibilities Grow Your Skills, Grow Your Potential State Farm's contact centers serve as the main connection to customers, agents, and associates, handling 10's of millions of contacts annually. Our team is building the next generation of AI and GenAI systems that put insights, intelligent applications, and automated workflows into the hands of enterprise leaders. We work at the frontier of large language models, agentic architectures, and cloud-native AI — delivering solutions that are reliable, explainable, and that enhance human decision making. Join us if you want to see your code drive decisions at scale and help customers in their time of greatest need. In This Role, You Will: Design & Deploy AI/GenAI Solutions — Architect and implement LLM-powered applications, agentic workflows, & RAG pipelines using AWS Bedrock and AgentCore Build AI-Integrated APIs — Develop and maintain robust APIs (REST, FastAPI, etc.) serving as the backbone for AI applications, orchestration, and downstream consumers Engineer Data & Analytics Pipelines — Build pipelines that feed AI/ML systems with clean, governed, and well-structured data from enterprise sources Build on Amazon Bedrock AgentCore primitives — Runtime, Gateway (MCP), Memory, and Code Interpreter — to deliver streaming, stateful, tool-using agents in production. Champion Responsible AI — Apply prompt engineering best practices, implement guardrails, evaluate model outputs (Promptfoo, RAGAS), and ensure compliance with enterprise AI governance standards Drive Full Stack AI Applications — Build and maintain cloud-native web applications that surface AI capabilities to end users, including chat interfaces, dashboards, and automation tools Implement DevSecOps for AI — Integrate AI workloads into CI/CD pipelines, apply secure coding standards, and implement observability for model behavior and inference performance Enhance User Experience — Design intuitive AI-powered interfaces that are accessible, explainable, and trusted by end users Document & Share Knowledge — Author technical documentation, evaluation frameworks, and contribute to internal AI communities of practice Mentor & Lead — Provide technical guidance, code reviews, and foster a culture of responsible AI innovation Qualifications Preferred Skills Hands-on experience building LLM-powered applications, RAG pipelines, or agentic systems Strong foundation in software engineering: design, development, testing, and deployment of enterprise-grade applications Experience with cloud architecture (AWS preferred), Git version control, and performance optimization Experience with multi-agent orchestration patterns and tool-use frameworks (function calling, MCP) Proficiency in Python and/or TypeScript for API and AI integration development Familiarity with prompt engineering, model evaluation, and AI safety/guardrails Experience writing clear technical documentation, test cases, and evaluation frameworks Proficiency with AI-assisted development tools (GitHub Copilot) to accelerate delivery Strong communication skills with the ability to explain AI concepts to non-technical stakeholders Demonstrate initiative in learning emerging AI technologies and contributing to team knowledge Ideal Candidates Also Have Background in insurance, financial services, or regulated industries Familiarity with cloud Contact Center applications Experience productionizing LLMs or GenAI features in regulated industries (insurance, financial services, healthcare) Familiarity with AI governance, responsible AI frameworks, and enterprise Our Benefits Because work-life balance is a priority at State Farm, compensation is based on our standard 38:45-hour work week! Potential starting salary range: $81,000 - $142,000 (Starting salary will be based on skills, background, and experience. High end of the range limited to applicants with significant relevant experience.) Potential yearly incentive pay up to 15% of base salary At State Farm, we offer more than just a paycheck. Check out our suite of benefits designed to give you the flexibility you need to take care of you and your family! Get Paid! On top of our competitive pay, you are eligible for an annual raise and bonus. Stay Well! Focus on you and your family's health with our robust health and wellbeing programs. State Farm pays most of your healthcare premium, and we offer multiple healthcare plan options, including a high deductible plan. All medical plans provide 100% coverage for in-network preventative care, AND you and your family have access to vision, dental, telemedicine, 24/7 mental health professionals, and much more! Develop and Grow! Take advantage of educational benefits like industry leading training programs, top-notch tuition assistance programs, employee resource groups, and mentoring. Plan Ahead! Plan for those big moments in life with benefits like fertility/IVF/adoption assistance, college coaching, national discount programs, interactive monthly financial workshops, free financial coaching, and more. You can also start a savings account or consider financing through our State Farm Federal Credit Union! Take a Little "You" Time! You will have access to our generous time off policies designed so you can plan around holidays, family events, volunteering, or just to take a relaxing day off. With the opportunity to initially earn up to 20 days annually plus parental leave, paid holidays, celebration day, life leave (40 hours/year), bereavement leave, and community service/education support days, there will be plenty of time for you! Give Back! We offer several ways to give back through our Matching Gift Program, Good Neighbor Grant Program, and the Employee Assistance Fund. Finish Strong! Plan for retirement using free financial advisors and a 401(k) plan with company contributions of up to 7% of your salary. Visit our State Farm Careers page for more information on our benefits, locations, and the hiring process of joining the State Farm team!

Category/Area of Expertise: IT & Technology Job Requisition: 558341 Address: USA-IL-Chicago-300 South Riverside Plaza Store Code: Arch/Data - Business Intell & Analy (5119320) Ahold Delhaize USA, a division of global food retailer Ahold Delhaize, is part of the U.S. family of brands, which includes five leading omnichannel grocery brands - Food Lion, Giant Food, The GIANT Company, Hannaford and Stop & Shop. Our associates support the brands with a wide range of services, including Finance, Legal, Sustainability, Commercial, Digital and E-commerce, Technology and more. The AI/ML Engineer III builds machine learning models, implements training and evaluation workflows, and supports integration of AI capabilities into production environments. Our flexible/hybrid work schedule includes 3 in-person days at one of our core locations and 2 remote days. Our core office location for this role is Salisbury, NC, Chicago, IL or Quincy, MA. Applicants must be currently authorized to work in the United States on a full-time basis. Duties and Responsibilities: Develop, test, and deploy ML models using established architectures and frameworks. Support feature engineering, data preprocessing, and model evaluation. Assist in developing automated ML training and monitoring pipelines. Collaborate with engineering and product partners to refine AI solution requirements. Research tools and methods to enhance model performance. May be called upon to support critical escalations and must be available during urgent IT incidents as needed. Qualifications: Master's degree or PhD in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field required; equivalent advanced experience in applied data science may be considered. 5+ years of AI/ML engineering experience. Strong experience with Python, ML libraries, and model evaluation techniques. Understanding of deep learning and generative AI fundamentals. Strong analytical and communication skills. Preferred Qualifications: Experience with cloud ML platforms. Salary Range: $125,040 - $187,560 Actual compensation offered to a candidate may vary based on their unique qualifications and experience, internal equity, and market conditions. Final compensation decisions will be made in accordance with company policies and applicable laws. At Ahold Delhaize USA, we provide services to one of the largest portfolios of grocery companies in the nation, and we're actively seeking top talent. Our team shares a common motivation to drive change, take ownership and enable our brands to better care for their customers. We thrive on supporting great local grocery brands and their strategies. Our associates are the heartbeat of our organization. We are committed to offering a welcoming work environment where all associates can succeed and thrive. Guided by our values of courage, care, teamwork, integrity (and even a little humor), we are dedicated to being a great place to work. We believe in collaboration, curiosity, and continuous learning in all that we think, create and do. While building a culture where personal and professional growth are just as important as business growth, we invest in our people, empowering them to learn, grow and deliver at all levels of the business.

TL;DR We're seeking an Analytics Engineer to own the data foundations that fuel the GTM teams: building reliable models, shaping metrics, powering automation, and turning raw data into the insights and data products that drive Sales and Customer Success. Why Lovable? Lovable is the software creation platform that gives people the power to act on the problems closest to them. For decades, turning an idea into software required so much capital, technical fluency, and time that many ideas never came to life. Lovable is the counterargument: a platform for all people with ideas, ambition, and problems worth solving. From solopreneurs to small business owners to teams at companies like Adidas and Zendesk, people have built over 60 million projects on Lovable since its launch in November 2024. And we're just getting started. We're building a generational company from Stockholm, with growing teams in London, Boston, New York, and San Francisco. Our team is small, talent-dense, and moving quickly, with a culture rooted in extreme ownership, high velocity, and low-ego collaboration. We look for people who care deeply, ship fast, and are eager to make a dent in the world. Lovable is one of TIME's 100 Most Influential Companies and has been recognized on the Forbes AI 50 and CNBC Disruptor 50, reflecting our momentum as one of Europe's fastest-growing AI companies and one of the most ambitious places to build in this next era of software. What We're Looking For We're looking for an Analytics Engineer with a background in Data Engineering or Analytics Engineering who operates as a true full-stack analyst, owning everything from raw data to insights to operationalization. You bring: Strong SQL and analytical data modeling skills (ideally dbt or SQLMesh). Experience with ELT/ETL workflows and cloud warehouses (Snowflake, BigQuery, Redshift, Databricks). Comfort with Python for automation and light data engineering. Experience with dashboards, BI tools, and self-serve analytics. Clear communication, collaboration, and comfort working in ambiguity. Nice to have: experience with AI/LLM products, instrumentation, experimentation, or early-stage startups. What You'll Do Partner with Sales and CS on data and reporting needs. Translate ambiguous business questions into structured data models, analysis and actionable insights, and data-fueled products. Build and maintain data warehouse models that serve as the source of truth for product usage and GTM metrics. Model CRM data, usage data, and billing data to power Sales and CS automation, CRM enrichment, lead definition and creation, and GTM tooling. Design metrics, dashboards, and data UIs in Hex and Lovable for GTM leadership and teams to access and operationalize data. Partner with Product and Engineering on event instrumentation and schema design. Improve documentation, observability, governance, and data best practices. Contribute to forecasting models, KPI definitions, and experimentation frameworks. Own and improve data pipelines, ingestion workflows, and data quality testing. You'll thrive here if you Enjoy building clean, reliable, reusable data models. Have experience partnering closely with cross-functional GTM teams to solve real problems with data. Prefer simplicity over complexity in data and tooling design. Communicate clearly and proactively with technical and non-technical teams. Take ownership, move quickly, and iterate often. Want to help define and scale Lovable's data foundations and culture. Care about the rep experience and view analytics as a product. How We Hire Fill in a short form then jump on an initial exploratory call. Discuss your experience in more depth during a round of interviews with us. About Your Application Please submit your application in English. It's our company language so you'll be speaking lots of it if you join. We treat all candidates equally - if you're interested please apply through our careers portal. Compensation Range: $141.5K - $192K

RELOCATION ASSISTANCE: No relocation assistance available CLEARANCE REQUIRED FOR START: No CLEARANCE TYPE: Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work — and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Expand your horizons, advance your career, and contribute to a secure future for generations. Northrop Grumman's Space Sector invites you to bring your pioneering spirit to our collaborative teams. As a Data Insight Analyst – Level 3 , you'll be a linchpin in missions of paramount importance, defining the art of the possible from day one. May consider one of the following locations; Linthicum, MD ; Rolling Meadows, IL ; Redondo Beach, CA ; or Dulles, VA . The Date Insight Analyst will extract, transform, and analyze data from systems including SAP and Costpoint databases, Excel, and data warehouses to inform strategic and operational decisions, while developing and maintaining robust reporting and visualization solutions. This position will work a 9/80 schedule, with every other Friday off. Job responsibilities include, but are not limited to, the following: Extract, transform, clean, and validate large datasets from multiple systems to ensure data accuracy and integrity Design, develop, and maintain interactive Power BI and/or Tableau dashboards and reports for operational and executive decision-making Translate business requirements into data models, KPIs, metrics, and visual storytelling solutions Perform advanced analysis to identify trends, patterns, anomalies, and actionable insights Identify and remediate data quality issues; contribute to data definitions, documentation, and governance standards Manage data refresh schedules and optimize dashboard performance, consistency, and usability Partner with Contracts, Property, Global Trade, and other stakeholders to clarify requirements and deliver trusted analytics Other duties as assigned Basic Qualifications Bachelor's degree with 5 years of professional experience – OR – Master's degree with 3 years of professional experience – OR – PhD with 1 year of professional experience. Will consider an additional 4+ years of experience in lieu of degree. Must have the ability to obtain and maintain a U.S. Government Secret security clearance 3+ years hands-on experience building dashboards/reports in Power BI and/or Tableau Strong SQL skills (joins, subqueries, CTEs, performance tuning) Proficient in Excel Proven ability to translate business requirements into KPIs and compelling dashboards; manage projects end‑to‑end Strong analytical, problem-solving, and communication skills Preferred Qualifications Advanced expertise in Power BI (complex DAX, optimization) and Tableau (Tableau Prep, advanced calculations) Experience with data governance, BI best practices, and scalable reporting frameworks. Experience integrating and reconciling data across SAP, Costpoint, and other ERP/business systems Familiarity with contracts, property, and global trade data, metrics, and processes Current, active U.S. Government Secret security clearance Curious about all the exciting developments with the Northrop Grumman Space Sector? Click the link below: https://www.northropgrumman.com/space Working at Northrop Grumman is more than just a paycheck. We offer a comprehensive Total Rewards and benefits package designed to help you thrive at work and in life. For more information on our Total Rewards package, please visit our Total Rewards site. Northrop Grumman Total Rewards #RollingMdwSpace Primary Level Salary Range: $98,900.00 - $155,400.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit http://www.northropgrumman.com/EEO. U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.

RELOCATION ASSISTANCE: No relocation assistance available CLEARANCE REQUIRED FOR START: No CLEARANCE TYPE: Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work — and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Expand your horizons, advance your career, and contribute to a secure future for generations. Northrop Grumman's Space Sector invites you to bring your pioneering spirit to our collaborative teams. As a Data Insight Analyst – Level 3 , you'll be a linchpin in missions of paramount importance, defining the art of the possible from day one. May consider one of the following locations; Linthicum, MD ; Rolling Meadows, IL ; Redondo Beach, CA ; or Dulles, VA . The Date Insight Analyst will extract, transform, and analyze data from systems including SAP and Costpoint databases, Excel, and data warehouses to inform strategic and operational decisions, while developing and maintaining robust reporting and visualization solutions. This position will work a 9/80 schedule, with every other Friday off. Job responsibilities include, but are not limited to, the following: Extract, transform, clean, and validate large datasets from multiple systems to ensure data accuracy and integrity Design, develop, and maintain interactive Power BI and/or Tableau dashboards and reports for operational and executive decision-making Translate business requirements into data models, KPIs, metrics, and visual storytelling solutions Perform advanced analysis to identify trends, patterns, anomalies, and actionable insights Identify and remediate data quality issues; contribute to data definitions, documentation, and governance standards Manage data refresh schedules and optimize dashboard performance, consistency, and usability Partner with Contracts, Property, Global Trade, and other stakeholders to clarify requirements and deliver trusted analytics Other duties as assigned Basic Qualifications Bachelor's degree with 5 years of professional experience – OR – Master's degree with 3 years of professional experience – OR – PhD with 1 year of professional experience. Will consider an additional 4+ years of experience in lieu of degree. Must have the ability to obtain and maintain a U.S. Government Secret security clearance 3+ years hands-on experience building dashboards/reports in Power BI and/or Tableau Strong SQL skills (joins, subqueries, CTEs, performance tuning) Proficient in Excel Proven ability to translate business requirements into KPIs and compelling dashboards; manage projects end‑to‑end Strong analytical, problem-solving, and communication skills Preferred Qualifications Advanced expertise in Power BI (complex DAX, optimization) and Tableau (Tableau Prep, advanced calculations) Experience with data governance, BI best practices, and scalable reporting frameworks. Experience integrating and reconciling data across SAP, Costpoint, and other ERP/business systems Familiarity with contracts, property, and global trade data, metrics, and processes Current, active U.S. Government Secret security clearance Curious about all the exciting developments with the Northrop Grumman Space Sector? Click the link below: https://www.northropgrumman.com/space Working at Northrop Grumman is more than just a paycheck. We offer a comprehensive Total Rewards and benefits package designed to help you thrive at work and in life. For more information on our Total Rewards package, please visit our Total Rewards site. Northrop Grumman Total Rewards #RollingMdwSpace Primary Level Salary Range: $98,900.00 - $155,400.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit http://www.northropgrumman.com/EEO. U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.