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Senior Generative AI Engineer at OpenDataJobs. Our client is seeking a Senior Generative AI Engineer to drive internal initiatives and provide AI engineering support for a major federal agency. The role centers on developing cloud-native generative AI solutions and intelligent data pipelines on AWS, spanning intelligent document processing, computer vision, and related AI / ML domains.. The ideal candidate is energized and motivated with an extreme commitment to delivery and transformational change through the use of AI. They will think about generative AI in two dimensions: as a tool that makes them and their team dramatically faster, and as a core component of the intelligent systems they build. They understand that deploying an LLM inside a production workflow is a fundamentally different engineering challenge than using one to write a function, and they have done both. They take initiative without being asked and want ownership of the firm's trajectory, not just their deliverables.. Our client is a Benefit corporation - legally committed to creating measurable social value alongside business performance. They offer mission-driven, technically challenging work on complex federal initiatives, paired with direct client access, real ownership of your work product, and a culture that rewards initiative.. Responsibilities. Client Delivery:. Design and deploy production-grade Agentic AI systems where LLMs serve as operational components to reason, explain, and make decisions within live workflows. Architect intelligent pipelines combining classical tools (OCR, fuzzy matching, structured query) with LLM-based validation, confidence scoring, fallback logic, and automated logging for auditability and continuous improvement. Translate ambiguous mission requirements into well-scoped AI system designs; apply prompt and context engineering, RAG, semantic search, and fine-tuning as appropriate; leverage AWS services including Bedrock, Textract, Lambda, and Step Functions. Use generative AI tooling to accelerate the full development lifecycle: requirements analysis, code generation, test coverage, documentation, and deployment scaffolding. Document and quality-assure all project work prior to client delivery; attend meetings with agency staff, vendors, and external stakeholders as needed. Firm Development:. Lead or contribute to business development, internal tool-building, mentorship, or publication to strengthen Peregrine's AI capabilities and market position. Core Technologies:. AWS Certification required: Certified AI Practitioner, or relevant AWS Associate, Specialist, or Professional-level certification. Hands-on proficiency with AWS tools such as Amazon Bedrock, Textract, Step Functions, Lambda, Glue, CloudFormation, CDK, Cognito and related AWS services. Python fluency including LangChain and AWS Strands; experience with vector databases and embedding workflows. Experience with Model Context Protocol (MCP) to connect LLMs to external tools, APIs, and data sources; ability to design and implement MCP servers and clients in production architectures. Advanced SQL, cloud-native data pipeline management, and ETL workflows. Domain Expertise & Professional Skills:. Expert knowledge of LLM behavior, confidence calibration, evaluation, and responsible AI principles. Knowledge includes explainability, auditability, and governance in regulated environments. Experience with DevSecOps and MLOps: GitHub, CloudFormation, and related tools for version control, CI/CD, pipeline deployments, system and model monitoring, and drift detection. Domain knowledge of federal data environments, government IT modernization, or public sector AI adoption. Excellent written and oral communication skills; proven collaborator in professional or academic settings. Professional Experience:. Bachelor’s required, advanced degree preferred; Computer Science, Data Science, AI, Applied Mathematics, Statistics, or related quantitative field strongly preferred. 8+ years in software development, ML engineering, or data science; background in computer science or related technical and/or quantitative fields. Multi-modal AI experience (vision, document understanding, structured extraction). Prior consulting, or client-services experience strongly preferred. Open-source contributions or published GenAI research preferred. Familiarity with OMB AI guidance and the NIST AI Risk Management Framework preferred. U.S. citizenship; ability to obtain a Public Trust suitability determination required. Company Location: United States.