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Senior AI/ML Engineer

Agile Defense· Data Analytics & AI – AI/ML and NextGen Analytics
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Fort Meade, MD$155k - $175kRegularPosted 1w ago

About the role

Senior AI/ML Engineer responsible for designing, integrating, and operationalizing AI/ML capabilities for an enterprise AI platform supporting cyber operations at Fort Meade. Focuses on moving AI solutions from prototype to secure, governed services with measurable performance and safety.

Responsibilities

  • Provide embedded operations support, capability integration, and rapid prototyping for AI/ML-enabled tools in support of our customer.
  • Design and integrate LLM/agent orchestration workflows using agentic frameworks such as LangGraph, Agno, and the NVIDIA NeMo Agent Toolkit.
  • Tune model gateway routing logic to select, evaluate, and optimize across multiple frontier and open-weight models for cost, performance, and mission fit.
  • Develop and integrate RAG pipelines, vector databases, and memory services to give agents access to mission knowledge and context.
  • Implement MCP (Model Context Protocol)-based tool-broker integrations so agents can safely and securely access enterprise tools and data.
  • Evaluate, benchmark, and tune models and agent behaviors; build automated evaluation pipelines to track quality, safety, and performance over time.
  • Partner with data scientists and mission analysts to translate research and prototypes into production-grade AI capabilities for the command.
  • Implement AI governance guardrails — content/safety filters, policy enforcement, and approval gates — for agentic workflows, and document model/agent architectures and evaluation results for reuse.
  • Research and evaluate emerging LLM, agent, and AI tooling to keep the command's AI capability current and adaptable.

Qualifications

  • Bachelor’s degree from an accredited college or university in Computer Science, Data Science, or a related discipline and 8+ years of experience
  • Advanced proficiency in Python for AI/ML application development
  • Demonstrated experience building or integrating LLM/agent-based systems in production
  • Experience with retrieval-augmented generation (RAG), vector databases, and prompt/context engineering
  • Ability to manage competing priorities in fast-paced mission environments and identify/escalate operational risks early
  • Active TS/SCI clearance w/Poly

Skills

Required:PythonLLM/agent-based systemsRAG (retrieval-augmented generation)
Nice to have:MCP (Model Context Protocol)

Benefits

  • Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
Last updated Oct 21, 2026. Interested? Apply on the company site.

About Agile Defense

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Agile Defense delivers advanced capabilities and solutions tailored to the most critical national security and civilian missions.

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