AI/ML Engineer, SME

Gormat•Annapolis Junction, MD

About The Position

The AI/ML Engineer will support the United States Cyber Command (USCC) by helping establish USCYBERCOM’s AI Enterprise capability, a central hub for moving AI solutions from prototype to secure, governed, enterprise-scale services. The role designs and integrates models, agents, and AI workflows for the platform, providing embedded operations support, capability integration, and rapid prototyping of AI/ML-enabled tools. The position includes researching, designing, developing, and testing software; setting operational specifications and analyzing software requirements; and applying computer science, engineering, and mathematical analysis. The engineer will build agent orchestration workflows, model gateway routing, retrieval-augmented generation pipelines, vector databases, memory services, and secure tool integrations. They will evaluate and tune models and agent behaviors, build automated evaluation pipelines, work with data scientists and mission analysts to productionize capabilities, implement AI governance guardrails, document architectures and results, and assess emerging AI tools.

Requirements

Bachelor’s degree from an accredited college or university in Computer Science, Data Science, or a related discipline, and 10+ years of experience; four additional years of experience may be considered in lieu of a degree.
Active TS/SCI clearance with polygraph.
Advanced proficiency in Python for AI/ML application development.
Demonstrated experience building or integrating LLM- or agent-based systems in production.
Experience with retrieval-augmented generation, vector databases, and prompt/context engineering.
Ability to manage competing priorities in fast-paced mission environments and identify or escalate operational risks early.

Nice To Haves

Master’s degree and 8+ years of relevant experience.
Experience supporting USCYBERCOM, NSA, DoD cyber operations, or related mission environments.
Experience with LangGraph, Agno, or the NVIDIA NeMo Agent Toolkit.
Experience with model inference and serving platforms such as NVIDIA NIM, vLLM, Ollama, or LiteLLM.
Experience with MCP or similar tool-broker and integration standards.
Experience with AI evaluation frameworks, model benchmarking, and observability (logs, metrics, and traces) for AI workloads.
Experience supporting USCYBERCOM, NSA, or DoD AI/cyber mission environments.

Responsibilities

Research, design, develop, and test operating systems-level software, compilers, and network distribution software for a range of computing applications.
Set operational specifications and formulate and analyze software requirements.
Design embedded systems software, as applicable.
Provide embedded operations support, capability integration, and rapid prototyping for AI/ML-enabled tools.
Design and integrate LLM and agent orchestration workflows using frameworks such as LangGraph, Agno, and the NVIDIA NeMo Agent Toolkit.
Tune model gateway routing logic to select, evaluate, and optimize frontier and open-weight models for cost, performance, and mission fit.
Develop and integrate RAG pipelines, vector databases, and memory services to provide agents with mission knowledge and context.
Implement MCP-based tool-broker integrations so agents can securely access enterprise tools and data.
Evaluate, benchmark, and tune models and agent behaviors; build automated pipelines to track quality, safety, and performance over time.
Partner with data scientists and mission analysts to turn research and prototypes into production-grade AI capabilities.
Implement AI governance guardrails, including content and safety filters, policy enforcement, and approval gates.
Document model and 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.