AI/ML Engineer-TS/SCI & CI POLY

SixGen, Inc.
Columbia, MD
On-site

Who this role is best for

Geared toward AI/ML professionals with advanced Python skills and experience in LLM/agent orchestration, comfortable with embedded operations support and mission-critical integration in cybersecurity environments. Based in Columbia, MD, and requiring TS/SCI with CI Poly clearance, the role emphasizes collaboration with mission analysts and data scientists on enterprise-scale AI systems.

Best fit for

  • Candidates with advanced Python skills and experience in LLM/agent orchestration frameworks
    — “Advanced proficiency in Python for AI/ML application development”
  • Individuals with a background in production-grade AI integration for mission-critical systems
    — “Demonstrated experience building or integrating LLM/agent-based systems in production”
  • Professionals who have worked in USCYBERCOM, NSA, or DoD cyber operations environments
    — “Experience supporting USCYBERCOM, NSA, DoD cyber operations, or related mission environments”

Things to consider

  • TS/SCI with CI Poly clearance is a mandatory requirement for this role
    — “Active TS/SCI clearance w/Poly”
  • The role is based in Columbia, MD, and may require on-site presence
    — “Location: Columbia, MD”

How to stand out

  • Highlight your experience with LangGraph, Agno, or NVIDIA NeMo Agent Toolkit in your resume and interviews
    — “Experience with frameworks such as LangGraph, Agno, or the NVIDIA NeMo Agent Toolkit”
  • Demonstrate your ability to translate research into production-grade AI capabilities
    — “Partner with data scientists and mission analysts to translate research and prototypes into production-grade AI capabilities for the command”
  • Showcase your expertise in RAG pipelines and vector databases for mission context integration
    — “Develop and integrate RAG pipelines, vector databases, and memory services to give agents access to mission knowledge and context”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • AI Enterprise capability
  • AI/ML-enabled tools
  • production-grade AI capabilities
Typical background
10+ years of AI/ML experienceTS/SCI clearance

Skills & requirements

Required

Ai/ml EngineeringLlm/agent OrchestrationRAG PipelinesVector DatabasesAI Governance

Preferred

LanggraphAgnoNvidia Nemo Agent Toolkit

Stack & domain

PythonLLMAgent OrchestrationRAG PipelinesVector DatabasesMcp-based Tool-broker IntegrationsCybersecurityAi/ml

About the role

Original posting from SixGen, Inc. via Greenhouse

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

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

Flexible PTO and holiday schedule

OUR COMMITMENT

SIXGEN is an Equal Opportunity Employer. We ensure that all applicants are considered for employment without regard to race, color, religion, sexual orientation, gender identity, national origin, disability, age, marital status, ancestry, projected veteran status, or any other protected group or class.

We are committed to fostering an inclusive culture that values diversity in our people, reflecting the communities we serve and our customer base. We strive to attract and retain a diverse talent pool and create an environment where everyone is empowered to be their authentic selves at work.

Source: SixGen, Inc. careers (Greenhouse)

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