Pay
$166K–$240K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,279 postings in the last year. Stated ranges, not salaries paid.
AI/ML Engineer, Senior
Annapolis Junction, MD, 20701, US
Live, first seen by us 20 days ago- Pay
- Pay not listedSimilar roles state $166K–$240K
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting
Before you apply
- Work authorization
- Citizens only
Active TS/SCI clearance w/Poly
What you’ll work on
Full postingDesign and integrate LLM/agent orchestration workflows using frameworks like LangGraph
Tune model gateway routing across frontier and open-weight models for cost and performance
Develop RAG pipelines, vector databases, and memory services for agents
Implement MCP-based tool-broker integrations so agents can securely reach enterprise tools
Build automated evaluation pipelines to track model and agent quality, safety, and performance
From the employer’s posting
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.
build automated evaluation pipelines to track quality, safety, and performance over time.
What you’ll bring
All qualificationsCore experience
- Bachelor's degree from an accredited college or university in Computer Science, Data Science, or a related discipline and 8+ years of experience
- Demonstrated experience building or integrating LLM/agent-based systems in production
- Experience supporting USCYBERCOM, NSA, DoD cyber operations, or related mission environments
- Experience with retrieval-augmented generation (RAG), vector databases, and prompt/context engineering
- Experience with frameworks such as LangGraph, Agno, or the NVIDIA NeMo Agent Toolkit
- Ability to manage competing priorities in fast-paced mission environments and identify/escalate operational risks early
Qualification wording
Bachelor's degree from an accredited college or university in Computer Science, Data Science, or a related discipline and 8+ years of experience
Demonstrated experience building or integrating LLM/agent-based systems in production
Experience supporting USCYBERCOM, NSA, DoD cyber operations, or related mission environments
Experience with retrieval-augmented generation (RAG), vector databases, and prompt/context engineering
Experience with frameworks such as LangGraph, Agno, or the NVIDIA NeMo Agent Toolkit
Ability to manage competing priorities in fast-paced mission environments and identify/escalate operational risks early
Education & alternatives
Requirements - Bachelor's degree from an accredited college or university in Computer Science, Data Science, or a related discipline and 8+ years of experience - Active TS/SCI clearance w/Poly
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 16, 202620 days ago
- Recorded sightings
- 19
- Last seen by us
- Nov 5, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 20
Similar jobs usually come down between day 6 and day 70.
From 4,452 similar postings that came down. Coming down is not always a hire.
Gormat is hiring
2 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
Where the posting names them
- 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
Your next step
Complete your application on gormat.applicantpro.com. The employer’s form will show what is required.
Already applied? Track this application
Demand for ML Engineer roles
New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
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?
If so, then apply today and 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 Senior 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 8+ years of experience
- 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:
- 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.
Source details
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Annapolis Junction, MD, 20701, US
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.