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Infrastructure Delivery Administrator (Temporary, Full-Time) - 2054 Close DateOpen until filledAt the City of Kamloops, we believe in progressive and barrier-free recruitment for everybody every day. This means employment opportunities for all in a safe, inclusive and diverse workplace. We know our city is stronger when we hire qualified individuals from different backgrounds with diverse experiences, cultures and perspectives.We are focused on creating the highest levels of service excellence, based on an organization-wide community culture that celebrates our employees who make it all happen. We are known as Canada?s Tournament Capital and are famous for our hospitality and community spirit, traits that make us a leader! Recreation, sports, arts and culture, health care, social activities, volunteerism, and affordable housing all meld to form a unique blend of big-city amenities with small-town ambience. This is Kamloops!Let?s make Kamloops shine! Join our team today. Position OverviewAre you an organized and detail-oriented professional with a passion for project management, financial forecasting, and keeping critical infrastructure projects on track? Do you thrive in a fast-paced environment where your expertise directly impacts major capital projects? If so, we want you on our team! As a temporary, full-time Infrastructure Delivery Administrator, you?ll play a key role in supporting the successful execution of capital projects and development servicing. You?ll work closely with consultants, contractors, and internal teams, ensuring seamless project coordination, financial accuracy, and efficient workload management. Your expertise in contract administration, data management, and performance reporting will help keep our city growing and thriving.Living in Kamloops Welcome to the vibrant heart of British Columbia, where the majestic Thompson River flows amidst stunning landscapes and a community steeped in history and culture. We are known as Canada?s Tournament Capital and are famous for our hospitality and community spirit! Nestled in the Thompson Valley and surrounded by the rugged beauty of the Interior Plateau, Kamloops boasts a unique blend of urban amenities and outdoor adventure. From its bustling downtown core, alive with eclectic shops and diverse culinary delights, to its vast network of trails, parks, and recreational facilities, Kamloops offers something for everyone. Whether you're an outdoor enthusiast seeking thrills on the mountain bike trails of nearby Kamloops Bike Ranch, a history buff exploring the city's rich Indigenous heritage at the Secwépemc Museum and Heritage Park, or a foodie delighting in the farm-to-table cuisine of its local restaurants, Kamloops welcomes you with open arms and boundless opportunities to explore, discover, and connect.The successful candidate must have the following qualifications: Completion of a Business Administration Diploma or related discipline including the completion of at least one accounting course and a minimum three (3) years? previous work experience in project administration directly related to major capital architecture, engineering or construction projects. OR Completion of a Business Administration Certificate or related discipline including the completion of at least one accounting course and a minimum four (4) years? previous work experience in project administration directly related to major capital architecture, engineering or construction projects. Certified Associate in Project Management (CAPM) through the Project Management Institute. Proficient in advanced Word, advanced Excel and intermediate Access as demonstrated through testing. (70% pass rate required) Valid BC Class 5 driver's licence.Please note, this Infrastructure Delivery Administrator posting coincides with posting Infrastructure Delivery Administrator - Training Opportunity (temporary, full-time) 2055. Our preference is to hire a fully qualified candidate, however, if ther

We are looking for a reliable, organized, and detail-oriented Bookkeeper to manage our day-to-day financial records and support the smooth operation of our business. This role will work closely with company ownership, suppliers, customers, and employees to keep our finances accurate and up to date. Responsibilities: Bookkeeping Manage accounts payable and accounts receivable. Process supplier invoices and customer payments. Reconcile bank accounts, credit cards, and other financial accounts. Prepare and issue customer invoices and statements. Follow up on overdue accounts and outstanding payments. Maintain organized digital and physical financial records. Job Costing & Project Tracking Track costs for individual cabinetry and millwork projects. Monitor material costs, labour costs, and other project expenses. Assist with comparing actual project costs against budgets and estimates. Identify outstanding invoices, unexpected expenses, and potential cost overruns. Maintain accurate records of customer deposits, progress payments, and final payments. Qualifications Previous bookkeeping experience, preferably in manufacturing, cabinetry, millwork, or a related industry. Experience with accounting software QuickBooks Online Knowledge of accounts payable, accounts receivable, bank reconciliations, and payroll. Familiarity with HST and Canadian bookkeeping requirements. Strong organizational skills and attention to detail. Ability to manage multiple priorities and meet deadlines. Good communication skills when dealing with customers, suppliers, and employees. Proficiency with Microsoft Excel and other standard office software. Ability to work independently, take initiative, and maintain confidentiality. What We're Looking For The ideal candidate is organized, dependable, and takes ownership of their work. They follow through on outstanding items, maintain accurate records, and can work independently without constant supervision. We are looking for someone who can help us stay on top of our finances, improve our bookkeeping processes, and provide ownership with an accurate picture of project costs and the financial health of the business. What We Offer Opportunity to join a growing custom cabinetry and millwork company. Direct communication and collaboration with company ownership. * Opportunity to improve and develop financial and administrative processes. Pay: $21.75-$30.00 per hour Work Location: In person

Accountant (full-time) ? Oakville Office Job Description Nour Private Wealth (NPW) is seeking an experienced, detail-oriented Accountant to join our Oakville office. The successful candidate will primarily be responsible for preparing and filing personal and corporate tax returns for our clients, while also supporting general accounting and financial reporting activities. The ideal candidate will possess strong knowledge of Canadian tax laws and regulations, excellent analytical and organizational skills, and the ability to manage multiple responsibilities while maintaining accuracy, confidentiality, and professionalism. Key Responsibilities Prepare and file personal (T1) and corporate (T2) income tax returns for clients. Prepare trust (T3) returns and other applicable tax filings, as required. Ensure compliance with Canadian federal and provincial tax laws, CRA regulations, and filing deadlines. Review clients' financial records and supporting documentation to ensure accurate tax reporting. Identify applicable tax deductions, credits, and tax-planning opportunities for individuals and corporations. Assist clients with CRA correspondence, notices of assessment, reassessments, and tax-related inquiries. Provide tax-related guidance and support to financial advisors and clients. Perform full-cycle accounting and maintain accurate financial records. Prepare and post journal entries, including adjusting and year-end entries. Perform bank, credit card, and general ledger reconciliations. Prepare monthly, quarterly, and annual financial statements, including balance sheets and income statements. Assist with audit preparation and year-end accounting procedures. Analyze financial transactions, expenses, and cash flow requirements. Maintain accurate accounting records and supporting documentation. Stay informed of changes to Canadian tax legislation, accounting standards, and regulatory requirements. Perform other accounting, financial reporting, and administrative duties as required. Requirements & Qualifications Minimum 3 years of experience in accounting and Canadian tax preparation, including personal and corporate income tax filings. Strong knowledge of Canadian tax laws, CRA regulations, and federal and provincial tax filing requirements. Proven experience preparing and filing T1 and T2 tax returns. Experience with Canadian tax preparation software such as Taxprep, Profile, or DT Max. Proficiency in accounting software, preferably QuickBooks Online. Bachelor's degree in Accounting, Finance, Business Administration, or a related field preferred. CPA designation or progress toward obtaining a CPA designation is considered an asset. Strong understanding of general accounting principles, journal entries, reconciliations, and financial reporting. Excellent written and verbal communication skills in English; French is considered an asset. Strong analytical, organizational, and problem-solving skills. Proficiency in Microsoft Office, particularly Excel. Ability to work independently, manage multiple deadlines, and adapt to a fast-paced environment. Strong interpersonal skills, attention to detail, and commitment to client confidentiality. Diversity, Equity & Inclusion Nour Private Wealth is committed to fostering a diverse, equitable, and inclusive workplace where all employees are respected, valued, and provided with equal opportunities to succeed. We welcome applications from qualified individuals of all backgrounds and are committed to providing an inclusive recruitment process. Accommodations are available upon request throughout the hiring process in accordance with applicable accessibility and human rights legislation. Eligibility Requirements Applicants must be Canadian citizens or permanent residents of Canada and legally authorized to work in Canada. Position Details Location: Oakville, Ontario (In-Office) Employment Type:* Full-Time

Job Description Summary Job Description Collaborate with domain experts to understand business needs and translate them into clear and effective LLM prompts. Develop, test, and refine prompts for a variety of use cases, ensuring high accuracy and relevance in generated outputs. Work closely with software developers to integrate LLM solutions into existing or new applications. Contribute to the development of a scalable framework for prompt engineering, promoting reuse and knowledge sharing across different business units. Assist in gathering and analyzing user feedback to continually improve prompt effectiveness. Stay up-to-date with advancements in LLM technology and contribute to strategic decisions on tool and platform selection. Document prompt engineering processes, best practices, and use case outcomes to build a comprehensive knowledge base. Qualifications Master's degree in Computer Science, AI/ML, Engineering, Mathematics, or related field with 5+ years' relevant experience. Ideal Candidate Characteristics PhD in Computer Science, Engineering, Data Science, or related field Experience with prompt engineering and familiarity with tools such as OpenAI's GPT models, Hugging Face, etc. Proficiency in Python or other programming languages commonly used in AI/ML development. Experience with machine learning frameworks (e.g., PyTorch) and data processing libraries (e.g., Pandas, NumPy). Previous experience or internships involving NLP or machine learning projects. Familiarity with version control systems like Git. Understanding of traditional industry operations and challenges. Strong problem-solving skills and attention to detail. Excellent communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders. Ability to work collaboratively in a team environment and adapt to changing project requirements. GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: Yes For candidates applying to a U.S. based position, the pay range for this position is between $98,400.00 and $164,000.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate's experience, education, and skill set. Bonus eligibility: discretionary annual bonus. This posting is expected to remain open for at least seven days after it was posted on September 01, 2026. Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off. GE Vernova Inc. or its affiliates (collectively or individually, "GE Vernova") sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.

Title : AI/ML Engineer (All Levels) Location : Bay Area (Hybrid) Compensation : Up to $350,000 + Equity We're partnered with a well-funded, high-growth Series B startup building the next generation of AI-native data infrastructure for Fortune 500 enterprises. With 3.5x revenue growth in FY'24 and 160% net revenue retention, they're scaling fast and investing heavily in the AI engineering team that powers their core product. This is a high-impact role where you'll own the intelligence layer of the platform, making real architectural decisions around agent design, model selection, and evaluation strategy. Everything you build ships directly to customers; this is not a POC or internal tooling team. What You'll Do Architect multi-step AI agents end-to-end, covering problem decomposition, context retrieval, error recovery, and output quality Own RAG pipelines, vector and graph-based retrieval systems, and knowledge representations that let agents reason accurately over complex enterprise data Build the AI layer behind the platform's core code generation capability, from prompt design and model selection through to fine-tuning and output validation Make production AI work at scale, balancing latency, throughput, and observability, and knowing when to optimize a model versus restructure a system Think in failure modes and evaluation strategy, not capability demos, and own the improvement loop Requirements 4-6+ years of software engineering experience with meaningful AI/ML depth Proven experience building and shipping AI agents or coding agents in production Strong Python skills with hands-on experience across RAG, vector databases, and knowledge graphs Experience with LLM APIs, prompt engineering, fine-tuning, and structured outputs in production Familiarity with AWS and Kubernetes for production AI deployment Experience with data platforms such as Databricks, Snowflake, BigQuery, or Spark is a strong bonus Scale or Go experience is a bonus If you're a builder who thinks in failure modes, owns what you ship, and thrives in environments where last year's best practice is already obsolete, this is a rare opportunity to have direct leverage on a product used by some of the world's largest enterprises.

Responsibilities About the Team: Global E-commerce is a content-driven business powered by short-form video and live-streaming, dedicated to becoming the premier destination for users to discover affordable, high-quality products. Our team strives to deliver a tailored and efficient shopping experience while upholding a robust governance and risk control framework to ensure platform integrity, merchant compliance, and a secure ecosystem. Responsibilities: Architect and develop sophisticated LLM-based systems to process high-dimensional unstructured data (e.g., text, logs, conversations) from diverse sources. Define and implement complex semantic understanding frameworks, including fine-grained intent classification and entity extraction, to achieve deep contextual awareness. Apply state-of-the-art techniques to enhance model performance, including Instruction Tuning, RLHF/DPO, and Contextual Prompt Engineering. Optimize model serving for production environments using quantization, distillation, and efficient attention mechanisms (e.g., FlashAttention, vLLM). Qualifications Minimum Qualifications: MS or PhD in Computer Science, AI, Mathematics, or a related field. 5+ years of professional experience in one or more of the following fields: Machine Learning, Natural Language Processing (NLP), or Computer Vision. Proficiency in software development with at least one of the following programming languages: C++, Python, Go, or Java. Preferred Qualifications: Experience in fine-tuning, distillation, or reinforcement learning for large language models in conversational AI applications. Proficiency in multilingual NLP, machine translation, and cross-lingual dialogue modeling. Experience in developing and optimizing e-commerce video and product multimodal large models, combining LLMs with video/product representations to support tasks like multimodal classification, video QA, and cross-modal retrieval. A strong understanding of e-commerce policies, dispute resolution workflows, and merchant-buyer interactions to inform AI service design. About USDS TikTok USDS Joint Venture LLC is dedicated to the safety and security of millions of Americans who create, discover, and connect with what they love on the apps we operate. The Joint Venture has been established in compliance with the Executive Order signed by President Trump on September 25, 2025. Our foundation is a comprehensive data privacy and cybersecurity program we operate under defined safeguards to protect national security and secure U.S. user data, apps and the algorithm. We safeguard the U.S. content ecosystem, holding decision-making authority for trust and safety policies and moderation. USDS Joint Venture helps ensure Americans can continue to express their creativity, discover new hobbies and interests, and build thriving communities and businesses on a global scale.​ ​ On-site presence across teams allows the company to operate with greater speed, alignment, and agility — especially in areas like real-time decision-making, team development, and integrated execution. As such, the company is shifting from a hybrid work model to a fully in-person schedule up to 5 days a week.​ Why Join Us Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.​ We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.​ ​ Diversity & Inclusion​ TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.​ USDS Reasonable Accommodation USDS is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/USDS-RA​ Job Information 【For Pay Transparency】Compensation Description (Annually) The base salary range for this position in the selected city is $177688 - $341734 annually.​ Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.​ Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).​ The Company reserves the right to modify or change these benefits programs at any time, with or without notice.​ For Los Angeles County (unincorporated) Candidates:​ Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:​ Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;​ Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and​ Exercising sound judgment.​

CAS uses unparalleled scientific content, specialized technology and unmatched human expertise to help R&D organizations across Commercial, Government and Academic sectors create groundbreaking innovations that benefit the world. As the Scientific Information Solutions Division of the American Chemical Society, CAS manages the largest curated reservoir of scientific knowledge, and for 119 years, has helped innovators mine, assess and apply that information to keep businesses thriving. The CAS team is global, diverse, endlessly curious and strives to make actionable scientific insights accessible to innovators worldwide. CAS is currently seeking a Senior Data Scientist focused on agentic AI development and large language model (LLM) engineering . This position will be located at our headquarters in Columbus, Ohio. This position will also have remote flexibility for the right candidate. This role sits on the Data Analytics and Insights (DAI) team, which builds the AI that powers CAS's scientific information products. You will work on the systems behind the Newton research assistants in SciFinder and BioFinder, the natural-language query agent in IPFinder, predictive models that ship inside products, and AI-assisted content curation pipelines, alongside data engineers, product managers, and scientific domain experts. This role requires a highly self-directed professional who can independently design, build, and evaluate agentic AI systems and LLM-powered applications that turn CAS's curated, provenanced scientific content into trustworthy research capabilities. The successful candidate will provide strategic input into product and platform ideation, drive complex technical initiatives from concept through production, and translate advanced AI engineering into tangible business value with minimal oversight, while providing technical direction to less-experienced scientists and engineers. Key Responsibilities Agentic AI & LLM System Development Independently design, build, and productionize agentic AI systems — including multi-step, tool-using, and multi-agent workflows — that support scientific research tasks. Develop retrieval-augmented generation (RAG) pipelines that ground model outputs in curated, provenanced scientific content. Implement and extend model-context and tool-integration frameworks (for example, the Model Context Protocol) to connect LLMs and agents to scientific data sources and external systems. Apply prompt engineering, context engineering, and orchestration techniques to improve the reliability and quality of agentic and generative workflows. Applied AI Engineering & Model Adaptation Fine-tune, adapt, and deploy large language models — including self-hosted, open-weight models — for domain-specific scientific tasks. Develop and deploy machine learning models that ship inside CAS products, such as property, toxicity, or biologic developability prediction, using scientific judgment to inform feature design and validate model behavior. Take AI capabilities from prototype all the way through production: building the data, training, and inference pipelines, owning the deployment, and iterating after first release, not just the proof of concept. Work with engineering and product to put AI features in front of real users at scale, and stay accountable for how they behave once they're live. Set and hold the engineering standard for production AI: appropriate safeguards such as content-safety guardrails, entitlement-based access control, evaluation, and model fallback, delivered as clean, tested, well-documented software with unit, integration, and end-to-end tests, containerized development, and CI/CD. Use agentic software development tools such as Claude Code as a core part of the daily workflow, and set the team's practice for using them well. Scientific Grounding & Evaluation Design rigorous evaluation frameworks for LLM and agentic systems — measuring accuracy, faithfulness, and robustness, and distinguishing acceptable model variability from factual error. Critically evaluate scientific datasets and model outputs for quality, completeness, and scientific validity, applying domain understanding of chemistry, materials science, or the life sciences. Establish trustworthy-AI practices that keep model outputs grounded in curated, provenanced scientific content rather than the model's own priors. Business Impact & Communication Independently synthesize technical findings and present strategic recommendations to senior executives and C-level stakeholders. Influence organizational and product decisions through compelling, data-driven narratives and demonstrations. Represent CAS's AI work externally through client engagements, conference presentations, and publications. Technical Leadership & Mentorship Set the technical direction for a team of data scientists and data engineers: the standards, patterns, and architecture for how agentic and LLM systems get built, spanning data and inference pipelines, model and prompt design, and deployment. Own design and code review across that work, from model and prompt design through data pipelines and serving infrastructure, and raise the bar on quality, reliability, and reproducibility. Mentor junior data scientists and AI/data engineers, and unblock them on difficult technical problems. Set the team's standards for AI engineering, evaluation, and responsible deployment. Lead and influence cross-functional initiatives as part of a shared-services model, without direct people-management responsibility. Share knowledge across the team through demos, documentation, and internal learning sessions. Qualifications Required Master's degree in Computer Science, Data Science, Chemistry, Materials Science, Chemical Engineering, or a related technical or scientific field with 6+ years of applied AI/ML or data science experience; a Bachelor's degree in one of those fields with 8+ years; or a PhD with 3+ years. Advanced proficiency in Python and the modern AI engineering stack (for example, PyTorch, Hugging Face, vector databases, orchestration/agent frameworks, SQL, and cloud platforms). Demonstrated, hands-on experience building LLM-powered applications, agentic or multi-agent systems, and/or RAG pipelines — and taking them to real users in production, including the post-launch iteration that implies. Experience fine-tuning, adapting, or deploying large language models, including familiarity with self-hosted or open-weight models. Working knowledge of evaluation methodology for generative and agentic systems (accuracy, faithfulness, and hallucination/variability management). Ability to work with scientific data and domain concepts — such as chemical or materials data, molecular representations, or life-sciences datasets — well enough to judge whether a system's outputs are accurate, defensible, and useful to working scientists, and to partner effectively with subject-matter experts. Exceptional communication skills, with a proven ability to influence senior stakeholders and lead cross-functional efforts. Strong project-management capability across multiple concurrent initiatives. Experience deploying and operating production systems in at least one cloud environment (AWS, Azure, or GCP). Proficiency with agentic software development tools (for example, Claude Code or similar AI-assisted development environments). Preferred PhD in a computational, physical, chemical, or life-sciences field. Experience with tool-use and integration frameworks such as the Model Context Protocol (MCP). Experience self-hosting or serving open-weight models in production (LLMOps / MLOps). Cheminformatics experience or familiarity with molecular representations and scientific databases. Experience building and deploying predictive ML models in a scientific or regulated domain. Track record of publications or conference presentations in AI-for-science or applied machine learning. Consulting or client-facing experience in scientific, chemical, or life-sciences sectors. CAS offers a competitive salary and comprehensive benefits package, including a generous vacation plan, medical, dental, vision insurance plans, and employee savings and retirement plans. Candidates for this position must be authorized to work in the United States and not require work authorization sponsorship by our company for this position now or in the future. EEO/Minority/Female/Disabled/Veteran

Our Company At Teradata, we believe that people thrive when empowered with better information. Teradata Autonomous Knowledge Platform activates enterprise intelligence by unifying data, knowledge and business context to achieve tangible outcomes. With Teradata, organizations can provide agents with full context for impact when it matters. Our solution lets businesses connect and scale on premises, in the cloud, or through a hybrid approach. Teradata delivers real business value with AI. What You'll Do We are building the next generation of AI-powered knowledge, reasoning, and autonomous agent platforms that operate at enterprise scale. We are seeking an exceptional Principal NLP Engineer to own and lead the design, development, and deployment of advanced natural language technologies powering semantic and context graphs, context analysis, intelligent search, retrieval, question answering, knowledge extraction, reasoning systems, AI agents, and enterprise copilots for Teradata Context Engine, our Autonomous Knowledge Platform. Context Engine is a platform that converts enterprise data estates into governed, agent-ready knowledge. Built for organizations where AI reliability and auditability are non-negotiable, Context Engine enables companies to deploy AI workflows on the data they already own — without rebuilding their infrastructure, without retraining their models, and without waiting for generic AI synthesis to learn the business terminology that took their analysts years to master. This is a deeply hands-on technical leadership role for a recognized expert in Natural Language Processing who combines strong research foundations with proven experience shipping production systems that serve millions of users and process billions of documents. You will work at the intersection of large language models, information retrieval, knowledge graphs, semantic understanding, and agentic AI. The ideal candidate has a track record of driving breakthrough NLP capabilities from research to production and possesses deep expertise across classical NLP, modern transformer architectures, retrieval-augmented generation (RAG), multimodal understanding, information extraction, and large-scale language model systems. Technical Leadership Define and execute the strategic roadmap for NLP and language understanding capabilities across our Knowledge Platform. Serve as the technical authority for large-scale NLP architecture, algorithms, and production deployment. Drive innovation in enterprise language understanding, semantic search, retrieval systems, knowledge extraction, and AI reasoning. NLP and Language Intelligence Design and build advanced NLP systems for: Entity extraction Relationship extraction Information extraction Document understanding Semantic indexing Context understanding and representation Text classification Topic modeling Summarization Question answering Conversational AI Knowledge grounding Multi-document reasoning Extracting context from multi-modal sources of language Multi-lingual solutions Machine translation Develop systems that transform unstructured enterprise content into structured knowledge assets. Advance techniques for long-context understanding, document intelligence, and multi-hop reasoning. Build domain-adaptive language understanding models across diverse enterprise data sources. Develop solutions with highest quality and performance Develop solutions that are tested and validated Large Language Models Design and optimize applications built on frontier foundation models. Build advanced retrieval-augmented generation architectures for enterprise-scale environments. Develop agentic workflows that leverage LLMs for planning, reasoning, execution, and tool usage. Create evaluation methodologies that measure factuality, grounding, trustworthiness, and task completion. Improve model performance through prompt engineering, fine-tuning, continued pretraining, synthetic data generation, and reinforcement-learning-based approaches. Knowledge and Semantic Systems Design NLP pipelines that power enterprise knowledge graphs and semantic layers. Develop ontology-aware language understanding systems. Build entity resolution, canonicalization, taxonomy mapping, and concept extraction capabilities. Connect language understanding with graph-based reasoning and enterprise knowledge discovery platforms. Platform and Scale Build highly scalable distributed NLP systems processing petabytes of enterprise content. Optimize inference architectures for latency, throughput, cost efficiency, and reliability. Lead deployment strategies across on-prem, cloud-native, hybrid, and enterprise environments. Partner closely with platform engineering teams to operationalize NLP services at global scale. Research and Innovation Stay at the forefront of advances in: Foundation models Agentic AI Retrieval systems Representation learning Deep learning Knowledge-enhanced language models Reasoning systems Publish, patent, contribute to open source, and represent the organization externally at premier AI conferences and industry events. Mentor senior engineers and help establish NLP engineering best practices across the company. Who You'll Work With Partner with distinguished engineers, architects, researchers, and product leaders to shape the future of Teradata enterprise AI. What Makes You a Qualified Candidate PhD or MS in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, NLP, or related field. 12+ years of software engineering experience, including 8+ years building production NLP and machine learning systems. Recognized industry leader in Natural Language Processing, Language AI, Search, Retrieval, or LLM-based systems. Deep hands-on expertise developing and deploying large-scale NLP systems in production. Deep Expertise In Transformer architectures Large Language Models Retrieval-Augmented Generation (RAG) Semantic search Information retrieval Knowledge extraction Entity recognition Relation extraction Text understanding Conversational AI Machine learning Deep learning Representation learning Graph-enhanced NLP Vector search systems Knowledge graphs Strong Programming Skills Python PyTorch TensorFlow/JAX Spark Distributed computing frameworks Experience With Hugging Face ecosystem Fine-tuning and adaptation frameworks Large-scale model evaluation Vector databases Embedding models Search engines Knowledge graphs Distributed ML infrastructure AI observability and evaluation platforms Preferred Qualifications PhD with published research in NLP, IR, ML, or AI in top-tier peer reviewed journals and conferences Experience building systems that serve hundreds of millions of users or process billions of documents. Contributions to major NLP open-source ecosystems. Publications in ACL, EMNLP, NAACL, COLING, NeurIPS, ICML, ICLR, KDD, SIGIR, WWW, or related venues. Experience leading architecture for enterprise copilots, intelligent assistants, or autonomous agents. Expertise in enterprise search and knowledge management systems. Experience with graph-based reasoning and knowledge graph technologies. Patent portfolio in NLP, machine learning, search, or language understanding. What You'll Bring Established reputation as an industry expert in NLP and language AI. Proven record of taking breakthrough research into production at scale. Experience building state-of-the-art systems involving: Enterprise search Enterprise copilots Document intelligence Retrieval systems Knowledge extraction AI agents Semantic reasoning Knowledge graphs Ability to influence technical strategy across multiple organizations. Strong balance of scientific rigor, engineering excellence, and product impact. Success Metrics Within 12 months, you will: Define next-generation NLP and language intelligence architecture for the platform. Deliver measurable improvements in retrieval quality, answer accuracy, grounding, and user satisfaction. Establish world-class evaluation and benchmarking frameworks. Lead development of enterprise-scale knowledge extraction and semantic understanding capabilities. Enable agentic AI experiences that leverage enterprise knowledge with high trust, transparency, and precision. Raise the organization's NLP and AI capabilities to industry-leading levels. Why We Think You'll Love Teradata We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are committed to actively working to foster an inclusive environment that celebrates people for all of who they are Why We Think You'll Love Teradata We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are. Teradata invites all identities and backgrounds in the workplace. We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization. ​ We are proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status.

We are seeking a highly skilled AI Engineer to design and build Generative and Agentic AI systems that transform how our company operates and serves customers. This role focuses on developing AI applications powered by large language models (LLMs), retrieval-augmented generation (RAG), Model Context Protocol (MCP) servers, and Agentic AI across the enterprise for internal and customer facing use cases. The ideal candidate has strong experience with a modern AI/ML stack, including a profound Python experience, including AI relevant packages and tools, LLM architectures and frameworks, RAG, MCP, prompt engineering, use of AI tools, budling teams of AI agents, and production-grade AI systems design and development. You will work closely with technology, data, and business teams to build scalable AI solutions that drive operational efficiency and innovation across the enterprise. Key Responsibilities Design, build, and deploy scalable LLM-powered applications, solutions, and digital products for customer support, business use cases, and internal productivity. Develop AI agents, Agentic Platforms, and Agentic AI systems capable of reasoning, planning, and executing multi-step workflows. Implement Retrieval-Augmented Generation (RAG) architectures and pipelines to leverage proprietary data, and internal knowledge bases. Build MCP servers, multi-connectivity enabled and multi-modal Agentic platforms, and AI assistants to support internal teams and customer facing. Integrate AI/ML solutions with enterprise systems, APIs, and data platforms. Design prompt strategies, evaluation frameworks, and guardrails to ensure accuracy, security, and regulatory compliance. Optimize LLM performance through fine-tuning, prompt engineering, and model orchestration. Develop MLOps and LLMOps pipelines for monitoring, evaluation, and continuous improvement of AI systems. Help in forming buy or build decisions and work with external vendors, consultants and internal teams to deliver scalable top-quality AI solutions timely. Stay up to date with emerging advancements in AI/ML, Generative AI, Agentinc frameworks, and model architectures. Required Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Applied Mathematics, or related field. 2+ years of software engineering experience, including work with machine learning (ML) or AI systems. Hands-on experience building LLM-powered applications in production environments. Strong programming skills in Python, and familiarity with AI/ML relevant packages such as NumPy, Pandas, SciPy and Scikit-learn. Experience with LLM ecosystems such as: OpenAI / Anthropic / Google, Open-source LLMs Hugging Face LangChain, LlamaIndex, or similar orchestration frameworks Experience building RAG pipelines and working with vector databases. Understanding of prompt engineering, embeddings, and model evaluation. Experience building APIs, MCPs, and scalable backend services. Experience with Claude Code, Codex, Cursor, GitHub Copilot, or similar. Ability to collaborate with cross-functional teams. Passion for technology and AI. Preferred Qualifications Experience building AI agents, agentic platforms, or autonomous workflows. Familiarity with agent frameworks (LangGraph, AutoGen, CrewAI, Semantic Kernel, Frontier, etc.). Experience with fine-tuning LLMs or parameter-efficient training methods (LoRA, PEFT). Experience with cloud-based AI infrastructure (AWS, Azure, or GCP). Familiarity with Java, JS, and Java applications and environments. Experience with MLOps / LLMOps tools and evaluation pipelines. Experience implementing AI governance, observability, and guardrails. Salary Range The pay range for this position is $110,000 to $160,000 annually. Actual compensation will vary based on multiple factors, including employee knowledge and experience, role scope, business needs, geographical location, and internal equity. Perks And Benefits 4 weeks accrued paid time off + 9 paid national holidays per year Free onsite gym at our Boston Location Tuition Reimbursement Low cost and excellent coverage health insurance options that start on Day 1 (medical, dental, vision) Robust health and wellness program and fitness reimbursements Auto and home insurance discounts Matching gift opportunities Annual 401(k) Employer Contribution (up to 7.5% of your base salary) Various Paid Family leave options including Paid Parental Leave Resources to promote Professional Development (LinkedIn Learning and licensure assistance) Convenient location directly across from South Station and Pre-Tax Commuter Benefits About The Company The Plymouth Rock Company and its affiliated group of companies write and manage over $2.3 billion in personal and commercial auto and homeowner's insurance throughout the Northeast and mid-Atlantic, where we have built an unparalleled reputation for service. We continuously invest in technology, our employees thrive in our empowering environment, and our customers are among the most loyal in the industry. The Plymouth Rock group of companies employs more than 1,900 people and is headquartered in Boston, Massachusetts. Plymouth Rock Assurance Corporation holds an A.M. Best rating of "A-/Excellent"

A collective energy and ambition. A place where you can make a real difference. We're a company that genuinely cares about our people, our products, our consumers and the environment. Our unique, informal culture champions courage, determination and collaboration. Knowing we have an open and supportive team means each of us has the freedom to take responsibility and ownership. We have a shared passion to work hard, innovate and push boundaries. United by the belief that when we strive for growth, anything is possible. While we might not be the largest company in our industry, we believe we can have the biggest impact because: Together We Have the Power to Win. Job Summary Church & Dwight is seeking an AI Engineer to join our R&D Agentic Pod team, which is responsible for designing, building, deploying, and scaling AI-powered products that transform how R&D teams make decisions and operate. The AI Engineer, R&D will specialize in large language models and generative AI, with primary accountability for building reliable retrieval-augmented generation systems, agentic workflows, orchestration, and production integrations. About The Role The AI Engineer, R&D will translate R&D business requirements into secure, scalable AI products that combine enterprise knowledge, approved data, machine learning models, tools, and human oversight. The AI Engineer builds the technical foundations that enable agents and generative AI applications to operate reliably in the enterprise. Working closely with R&D, Quality, & Regulatory stakeholders, AI Champions, Data Scientists, GTA partners, enterprise architecture, security, data engineering, and platform teams, this role contributes from prototype through deployment, monitoring, adoption, and continuous improvement. Success in this role will be measured by solution quality, accuracy, reliability, security, maintainability, user adoption, business impact, cost and latency performance, and delivery of reusable generative AI capabilities. The role sits within the Global R&D Innovation & AI organization, reporting to the Lead, R&D Agentic Pod.. Work Environment Hybrid: This is a hybrid role based in Princeton, NJ, and requires in- person attendance on Tuesdays, Wednesdays, and Thursdays, with remote work options on Mondays and Fridays. Role Accountabilities And Responsibilities Translate R&D business needs into secure, scalable AI products combining approved enterprise knowledge, structured and unstructured data, models, tools, permissions, and human oversight. Design, build, test, deploy, and maintain LLM and generative AI applications, agentic workflows, and orchestration patterns covering planning, routing, tool use, memory, handoffs, and human-in-the-loop controls. Build and optimize RAG systems using vector databases, embeddings, chunking, indexing, metadata, hybrid search, reranking, grounding, and source attribution; create traceable ingestion and refresh processes. Engineer reusable production prompts and integrations for generative AI APIs, enterprise services, applications, analytical models, workflow tools, and knowledge repositories. Develop automated and human evaluations for accuracy, groundedness, safety, relevance, task completion, latency, cost, and usability; monitor quality, adoption, incidents, and business outcomes. Identify hallucination, prompt injection, tool, retrieval, and operational risks; implement guardrails, fallbacks, authentication, authorization, logging, secrets management, and data controls. Apply strong software engineering practices, including modular design, source control, code review, automated testing, documentation, release management, observability, and production support. Partner with R&D, Quality, Regulatory, Data Science, GTA, architecture, data engineering, platform, security, privacy, and governance teams from discovery and prototyping through deployment, training, adoption, and continuous improvement. Ensure compliance with enterprise architecture, privacy, security, legal, compliance, data governance, and responsible AI standards; document architecture, controls, dependencies, procedures, limitations, and intended use. Skills And Competencies Action-oriented, data-driven problem solver focused on measurable outcomes. Strategic systems thinker with strong technical, business, and product acumen. Collaborative, curious, and accountable; effective in ambiguity and influencing without authority. Technical Skills Generative AI: LLMs, prompt engineering, structured outputs, tool calling, model optimization. RAG & Agents: Embeddings, vector databases, hybrid retrieval, reranking, grounding, orchestration, memory, human oversight. Engineering: Python, APIs, SDKs, cloud AI, authentication, source control, automated testing. AI Operations: Evaluation, observability, safety, failure analysis, monitoring, latency and cost optimization. Governance: Responsible AI, privacy, security, data governance, access controls, documentation, auditability. Education And Experience Required Qualifications: Bachelor's degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence, Engineering, Information Systems, or a related technical discipline required. 3+ years of experience in software engineering, machine learning engineering, AI engineering, data engineering, or a related discipline required. Hands-on experience building LLM and generative AI applications, including production prompt engineering, structured outputs, tool calling, model selection, APIs, evaluation, testing, monitoring, and optimization. Experience building enterprise RAG solutions with vector databases, embeddings, retrieval pipelines, knowledge sources, hybrid retrieval, reranking, grounding, and source attribution. Experience with agent frameworks, workflow orchestration, routing, handoffs, memory patterns, and human-in-the-loop controls. Proficiency in Python, REST APIs and SDKs, cloud AI services, source control, automated testing, authentication, and authorization. Preferred Qualifications Master's degree in Software Engineering, Data Science, Artificial Intelligence, Engineering, Information Systems, or a related technical discipline preferred. Experience integrating AI solutions with enterprise applications, data platforms, security controls, and governed knowledge repositories. Experience in Consumer Packaged Goods R&D, Quality, and/or Regulatory environments. Strong systems thinking, business acumen, product mindset, prioritization, problem-solving, data-driven storytelling, collaboration, curiosity, accountability, and ability to influence without authority in ambiguous environments Compensation And Benefits The U.S. base salary range for this full-time position is $71,000– $101,100. This position is also eligible for a bonus. As a Church & Dwight US employee, you (and eligible dependents, as applicable) will have access to medical, dental, vision, basic life insurance, paid vacation and sick time, and Paid Parental Leave. U.S. employees are entitled to paid holidays, floating holidays, and vacation days starting in their first year of employment depending on hire date. You are also able to participate in our 401k retirement plan (with company match and profit-sharing) and Discounted Employee Stock Purchase Plan. The actual base pay offered to the successful candidate will be based on multiple factors, including, but not limited to, job-related knowledge/skills, experience, business needs, geographical location, and internal pay parity. Compensation decisions are dependent upon the facts and circumstances of each position and candidate. Church & Dwight is proud to be an Equal Opportunity Employer/Veterans/Individuals with Disabilities. For more information on our company, our brands and our culture visit us at http://www.churchdwight.com/

Job Description ACTIVE SECURITY CLEARANCE AT THE TS/SCI POLYGRAPH LEVEL IS REQUIRED We are seeking an experienced Lead AI / NLP Engineer specializing in agentic AI frameworks and automated knowledge extraction to join our team supporting critical defense and intelligence customer missions. In this role, you will train and deploy advanced Natural Language Processing (NLP) and Named Entity Recognition (NER) models for Large Language Model (LLM) solutions using LangGraph. You will lead both supervised and unsupervised model training and validation workflows to perform dynamic knowledge extraction across multilingual, unstructured data streams without a predefined ontology. Additionally, you will work closely with customer data sources, implement robust data quality techniques, and navigate enterprise compliance and policy requirements to ensure end-user readiness and accessibility. The annual base salary range for this role is $156,000-$184,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things. , Required Skills Agentic AI & LangGraph: Hands-on proficiency developing, orchestrating, and training NLP/NER capabilities for LLM solutions within agentic AI frameworks (specifically LangGraph). NLP & Knowledge Extraction: Strong experience in both supervised and unsupervised model training, fine-tuning, and validation for automated knowledge extraction from unstructured, multi-language natural language data without relying on a predefined ontology. Data Retrieval & Preprocessing: Deep understanding of customer data sources, retrieval techniques, and data preprocessing pipelines required to generate high-quality training and evaluation datasets. Data Quality & Pipeline Readiness: Mastery of techniques to validate, clean, and enrich training data to ensure high data quality and seamless system integration. Enterprise Compliance & Governance: Strong understanding of enterprise data compliance, security policies, and governance protocols to ensure AI solutions meet regulatory standards and end-user access controls. Education: Bachelor's Degree in Data Science, Computer Science, Computational Linguistics, Mathematics, or a related technical discipline, PLUS 10+ years of professional experience in data science, NLP, or software engineering OR Associate's Degree PLUS 12+ years of specialized technical experience in lieu of a degree. , Desired Skills Multilingual NLP: Experience with cross-lingual embeddings, multilingual transformer architectures, and low-resource language processing. Vector Databases & RAG: Familiarity with Retrieval-Augmented Generation (RAG) architectures, vector stores (e.g., Qdrant, ChromaDB, PGVector, Pinecone), and semantic search indexing. Modern AI Tech Stack: Proficiency in Python and modern ML/DL libraries (PyTorch, Hugging Face Transformers, SpaCy, LangChain). MLOps & Deployment: Experience deploying containerized AI microservices (Docker, Kubernetes) and setting up MLOps pipelines for continuous model monitoring and evaluation. , About Nyla Technology Solutions Nyla Technology Solutions delivers exceptional Artificial Intelligence (AI), Data Science, and Software Engineering services for the U.S. Government. Nyla embraces a forward-thinking and bold approach at every turn, earning us a solid reputation of technical trendsetters within the industry. We have a passion for developing solutions that have a quick and immediate impact on mission. Headquartered in Columbia, Maryland, our customers love how we tackle their most challenging problems and get things done. If you have the unique experience and expertise we are seeking, along with the desire and determination to invest your time and energy as a part of Nyla's team, Taking Care of All of You Nyla provides a top-of-market compensation and benefits package. And through our unique Nyla FLEX program, we custom tailor these benefits to best fit your lifestyle. The Nyla FLEX benefit program is designed to offer you flexibility in the 3 biggest areas of your life: your pay, your leave, and your schedule. PAY - Nyla starts with 4 weeks of Annual Leave plus 11 holidays and an additional day of Annual Leave for each year you're at the company. You have the flexibility to cash out your annual leave hours, opt out of other Nyla benefits, and/or arrange for additional hours on contract* (over 40 hrs/week). There's even an option to earn 1.3 times your hourly rate once you work over 1880 hours on contract! LEAVE - Want to spend more time with the family? Want more time to travel the world? You can BUY additional annual leave for a total of 6 weeks of annual leave. That's up to 240 hours of leave plus 11 holidays! That's not even including paid anniversary leave! SCHEDULE - Does the traditional 40-hour workweek no longer fit your lifestyle? With Nyla FLEX, you have the freedom to scale down to 30-32 hours while still enjoying the top-notch Nyla benefits you know and love. It's flexibility that works for you without compromising the perks! WHAT ABOUT OTHER BENEFITS? Nyla's health care (medical, dental, and vision) is 100% covered by the company. We provide 10% 401k matching - with full vesting day 1! Our Professional Development offers $5,000 per year to be used towards fees, tuition, or time off for your continued growth. We even have a student loan repayment program and we provide 8 hours of volunteering annually so you can support your community, making your world a better place. To learn more about Nyla's culture and our exceptional benefit packages click here. Nyla is an equal opportunity employer.

Company Overview: A global private investment firm with over $120 billion in assets under management is seeking an Applied AI Engineer to join their AI Innovation Lab. This role involves prototyping and integrating AI-powered solutions to drive business value. Job Responsibilities: Build AI-powered prototypes and pilots, including chat/agent experiences, workflow automation, and intelligent copilots for internal teams. Integrate LLMs and other AI services with enterprise systems such as APIs, data warehouses, and productivity tools. Stand up vector retrieval/embedding pipelines and lightweight orchestration layers for pilots. Own prompt engineering and system prompt design for pilot use cases. Run small-scale evaluations and instrument prototypes to capture feedback and usage data. Work with the Data MVP/Platform team to transition successful pilots to governed solutions. Implement privacy, security, and compliance controls as defined by the Lab and CTO. Document pilot architecture, data flows, and limitations, and partner with AI Enablement Specialists to teach business users. Qualifications: 4+ years of experience in software engineering, ML engineering, or applied data science. Experience building with large language models or similar advanced AI systems. Strong Python and/or TypeScript/JavaScript skills. Familiarity with data platforms and modern data stacks, such as Snowflake. Comfort working in ambiguous problem spaces and understanding AI governance and security. Bachelor's degree in computer science, data science, or related field. Compensation: Salary: $175,000 – $250,000, Plus Bonus The post Applied AI Engineer appeared first on Landing Point.