Bachelor's degree in Computer Science, Data Science, or related field with 10+ years of experience; or 14+ years of experience in lieu of degree
Active TS/SCI clearance with CI Poly
Advanced proficiency in Python for AI/ML development
Experience building or integrating LLM/agent-based systems in production
Familiarity with retrieval-augmented generation (RAG), vector databases, and prompt/context engineering
Ability to manage competing priorities in fast-paced environments
Responsibilities
Provide embedded operations support and rapid prototyping for AI/ML tools
Design and integrate LLM/agent orchestration workflows using frameworks like LangGraph and NVIDIA NeMo
Tune model gateway routing logic for optimal performance
Develop RAG pipelines and memory services for agent access to mission knowledge
Implement MCP-based tool-broker integrations for secure data access
Evaluate and tune models and agent behaviors, building automated evaluation pipelines
Collaborate with data scientists to translate prototypes into production-grade AI capabilities
Implement AI governance guardrails and document architectures for reuse
Benefits
Employer-paid health insurance premiums for you and your family
Employer-paid short/long term disability and basic life/AD&D insurance
401K with a 4% employer contribution
Professional development reimbursement options
Flexible and remote work policies
Flexible PTO and holiday schedule
Full Job Description
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
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
COMPENSATION & BENEFITS
At SIXGEN, we are committed to fair and equitable compensation practices. Compensation for this role will be based on experience, qualifications, technical expertise, and overall alignment with the position.
Additionally, SIXGEN offers top-tier benefits for full-time employees, including:
Employer-paid health insurance premiums (medical, dental, vision) for you and your family
Employer-paid short/long term disability insurance and basic life/AD&D insurance
401K with a 4% employer contribution
Professional development reimbursement options available (training, certification, education, etc)
Flexible and remote work policies for most positions
