Senior AI/ML Engineer designing and integrating LLM-based agents and workflows for an enterprise AI platform supporting national cyber operations missions. This role combines cutting-edge agentic AI development with mission-critical impact in a fast-paced, cleared environment.
What you'll do
- Design and integrate LLM/agent orchestration workflows using frameworks like LangGraph, Agno, and NVIDIA NeMo Agent Toolkit for mission-critical applications
- Develop RAG pipelines, vector databases, and memory services to enable agents to access and reason over mission-specific knowledge and context
- Implement MCP-based tool-broker integrations allowing agents secure, controlled access to enterprise tools and classified data
- Tune multi-model gateway routing logic to optimize cost, performance, and mission fit across frontier and open-weight models
- Build automated evaluation pipelines and benchmarking frameworks to track AI quality, safety, and performance metrics over time
- Implement AI governance guardrails, content filters, policy enforcement, and approval gates for agentic workflows
- Partner with data scientists and mission analysts to translate prototypes and research into production-grade, operationalized AI capabilities
Mission
Fort Meade-based intelligence community customer standing up a centralized AI Enterprise capability to operationalize AI/ML solutions across mission teams. The role supports cyber operations and national security missions requiring secure, governed, enterprise-scale AI services with strict compliance and safety controls.
Required skills
- LLM/Agent orchestration frameworks (LangGraph, Agno, NVIDIA NeMo Agent Toolkit)
- Model inference/serving platforms (NVIDIA NIM, vLLM, Ollama, LiteLLM)
- Model Context Protocol (MCP) implementation and tool-broker integration
- RAG pipeline development and vector database integration
- AI evaluation frameworks, model benchmarking, and observability
- AI governance and safety filter implementation
- Python or similar language for AI/ML engineering
- Mission environment experience