AI/ML Engineer, Senior

• 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.

Ready for a challenge that puts you at the center of AI innovation for cyber operations? Are you an experienced AI/ML engineer who thrives in a fast-paced environment, enjoys turning research and prototypes into real mission capability, and wants to help shape how AI is built and delivered across a national mission?, * Bachelor’s degree from an accredited college or university in Computer Science, Data Science, or a related discipline and 8+ years of experience

• Active TS/SCI clearance w/Poly
• 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

Preference to Candidates that Have:

• Experience supporting USCYBERCOM, NSA, DoD cyber operations, or related mission environments
• Experience with frameworks such as LangGraph, Agno, or the NVIDIA NeMo Agent Toolkit
• Experience with model inference/serving platforms (NVIDIA NIM, vLLM, Ollama, LiteLLM)
• Experience with MCP (Model Context Protocol) or similar tool-broker/integration standards
• Experience with AI evaluation frameworks, model benchmarking, and observability (logs/metrics/traces) for AI workloads
• Experience supporting USCYBERCOM, NSA, or DoD AI/cyber mission environments

TS/SCI with polygraph is required.