AI/ML Engineer, Senior

Gormat•Annapolis Junction, MD

11d

About The Position

As a Senior AI/ML Engineer, you will support the United States Cyber Command (USCC) by designing and integrating models, agents, and AI workflows for USCYBERCOM's AI Enterprise capability. The platform serves as a central hub for moving AI solutions from prototypes into secure, governed, enterprise-scale services. The role combines embedded operations support, capability integration, and rapid prototyping, with a focus on delivering production-grade AI capabilities for the command. You will build agent orchestration workflows, connect agents to mission knowledge and enterprise tools, evaluate and tune models, and implement governance safeguards. You will also work with data scientists and mission analysts to transition research and prototypes into operational capabilities, document architectures and evaluation results, and assess emerging AI technologies.

Requirements

Bachelor's degree from an accredited college or university in Computer Science, Data Science, or a related discipline.
At least 8 years of experience.
Active TS/SCI clearance with polygraph.
Advanced proficiency in Python for AI/ML application development.
Demonstrated experience building or integrating production LLM- or agent-based systems.
Experience with retrieval-augmented generation (RAG), 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

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 or serving platforms such as NVIDIA NIM, vLLM, Ollama, or LiteLLM.
Experience with MCP (Model Context Protocol) or similar tool-broker or 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

Provide embedded operations support, capability integration, and rapid prototyping for AI/ML-enabled tools supporting the customer.
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 evaluation 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 for agentic workflows.
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.