AI/ML Engineer, SME

Gormat; Corridor North (MD); On-site; USD 180,000 - 250,000; Full time

Benefits offered by this job

Job summary

Gormat in Maryland is seeking an experienced AI/ML engineer to join a mission-focused program supporting cyber operations. You will translate research prototypes into production-grade AI capabilities, design embedded software and system-level components, and work within a national mission context.

The role requires TS/SCI with poly, strong Python, and hands-on experience building LLM/agent-based systems, RAG pipelines, vector stores, and tool-broker integrations.

Qualifications

• Bachelor’s degree in CS/Data Science with 10+ years experience; or 14+ years without a degree.
• Active TS/SCI clearance w/Poly.
• Advanced proficiency in Python for AI/ML application development.
• Experience building or integrating LLM/agent-based systems in production.
• Experience with RAG, vector databases, and prompt/context engineering.
• Ability to manage competing priorities in fast-paced mission environments.

Responsibilities

• Provide embedded operations support and rapid prototyping for AI/ML tools.
• Design and integrate LLM/agent orchestration workflows.
• Tune model routing across frontier/open-weight models for cost and performance.
• Develop RAG pipelines and vector databases for mission knowledge access.
• Implement tool-broker integrations for secure enterprise tool access.
• Benchmark and tune models; build evaluation pipelines for safety and performance.
• Collaborate with data scientists to production-grade AI capabilities.
• Implement AI governance guardrails and document architectures.
• Research emerging LLM/agent tooling to keep capabilities current.

Skills

TS/SCI clearance

Python

LLM/agent-based systems

RAG pipelines

vector databases

prompt engineering

production AI systems

AI governance

Education

Bachelor's degree in Computer Science or Data Science

Master's degree (preferred)

Tools

LangGraph

Agno

NVIDIA NeMo Agent Toolkit

NVIDIA NIM

vLLM

Ollama

LiteLLM

Job description

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?

Research, design, develop, and test operating systems-level software, compilers, and network distribution software for medical, industrial, military, communications, aerospace, business, scientific, and general computing applications. Set operational specifications and formulate and analyze software requirements. May design embedded systems software. Apply principles and techniques of computer science, engineering, and mathematical analysis.

What You’ll Be Doing:

• 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.

Requirements

• Bachelor’s degree from an accredited college or university in Computer Science, Data Science, or a related discipline and 10+ years of experience; 4 additional years of experience may be considered in lieu of degree
• 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:

• Master’s degree and 8+ years of relevant experience
• 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.