AI/ML Engineer
Posted 8 Oct 2026
Advertised as “AI/ML Engineer-TS/SCI & CI POLY”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 10+ yrs
- Management level
- Individual contributor
- Contract
- Full-time
No salary listed for this role.
Field of studyComputer Science, Data Science (or related)
Study levelBachelor's
Study levelMaster's
SIXGEN’s mission is to deliver agile, mission-ready cybersecurity solutions that empower government and critical infrastructure organizations to stay ahead of advanced cyber threats. We combine innovation, deep expertise, and cutting-edge capabilities to uncover vulnerabilities, protect vital systems, and ensure operational superiority in an ever-evolving digital landscape.
POSITION OVERVIEW
- Position: AI/ML Engineer
- Job Type: Full Time
- Location: Columbia, MD
- Clearance Requirement: TS/SCI, CI Poly
- Salary : Senior $215, SME $240K
WHAT YOU’LL DO
SIXGEN is actively seeking candidates to be part of a team that supports the United States Cyber Command (USCC). Our team is standing up USCYBERCOM’s AI Enterprise capability — the central hub that mission teams turn to when they want to move an AI solution from prototype to a secure, governed, enterprise-scale service. As a AI/ML Engineer on this team, you will design and integrate the models, agents, and AI workflows that run on that platform, with significant, visible impact on the mission of the USCC.
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