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Senior Generative AI Engineer

2 hours, 35 minutes ago
United States
Full-time
Lead
AI Engineer
Software Development
AWS AWS CDK CI/CD CloudFormation Computer Vision DevSecOps Generative AI GitHub LLM Machine Learning MLOps Python SQL
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Open Data Jobs

Open Data Jobs

Open Data Jobs connects high-potential data professionals with essential roles in the Federal sector, facilitating the recruitment process for Federal Chief Data Officers, contractors, and other stakeholders to address critical job openings in the data...

Professional Services
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Description

  • Design and deploy production-grade agentic AI systems that use LLMs as operational components in live workflows.
  • Architect intelligent data pipelines that combine OCR, fuzzy matching, structured query, LLM-based validation, confidence scoring, fallback logic, and audit logging.
  • Translate ambiguous mission requirements into well-scoped AI system designs.
  • Apply prompt engineering, context engineering, RAG, semantic search, and fine-tuning where appropriate.
  • Build solutions using AWS services such as Bedrock, Textract, Lambda, and Step Functions.
  • Use generative AI tools to accelerate requirements analysis, code generation, test coverage, documentation, and deployment scaffolding.
  • Document and quality-assure all work prior to client delivery.
  • Attend meetings with agency staff, vendors, and external stakeholders as needed.
  • Contribute to firm development through business development, internal tool-building, mentorship, or publication.

Requirements

  • AWS certification required: Certified AI Practitioner or another relevant AWS Associate, Specialist, or Professional-level certification.
  • Hands-on proficiency with AWS tools including Amazon Bedrock, Textract, Step Functions, Lambda, Glue, CloudFormation, CDK, and Cognito.
  • Strong Python fluency, including experience with LangChain and AWS Strands.
  • Experience with vector databases and embedding workflows.
  • Experience with Model Context Protocol (MCP), including designing and implementing MCP servers and clients in production architectures.
  • Advanced SQL skills and experience with cloud-native data pipeline management and ETL workflows.
  • Expert knowledge of LLM behavior, confidence calibration, evaluation, and responsible AI principles.
  • Knowledge of explainability, auditability, and governance in regulated environments.
  • Experience with DevSecOps and MLOps practices, including GitHub, CloudFormation, CI/CD, deployments, monitoring, and drift detection.
  • Domain knowledge of federal data environments, government IT modernization, or public sector AI adoption.
  • Excellent written and oral communication skills and proven collaboration ability.
  • Bachelor’s degree required; advanced degree preferred, ideally in Computer Science, Data Science, AI, Applied Mathematics, Statistics, or a related quantitative field.
  • 8+ years of experience in software development, ML engineering, or data science.
  • Multi-modal AI experience, including vision, document understanding, and 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 and the ability to obtain a Public Trust suitability determination are required.

Benefits

  • Full health coverage, including medical, dental, and vision, with 100% of employee premiums covered.
  • Life and disability insurance fully covered by the company.
  • 401(k) retirement plan with 100% match on contributions up to 4% of salary and immediate vesting.
  • Unlimited Paid Time Off (PTO).
  • Remote work location with the greater Washington, DC area preferred for hybrid engagement.
  • Sponsored AWS certification training.

Interested in this position?

Apply directly on the company website

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