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Principal AI/ML Engineer - TS/SCI w/ Poly

US - MD (Field Location)

Live, first seen by us 36 days ago
Pay
$148,300–266,900/yearAnnual period assumed — pay source
The Federal Solutions segment delivers resources to our US government customers that ensure the success of missions around the globe. Our intelligent employees drive the state of the art as they provide services and solutions in the areas of defense, security, intelligence, infrastructure, and environmental. We promote a culture of excellence and close-knit teams that take pride in delivering, protecting, and sustaining our nation's most critical assets, from Earth to cyberspace. Throughout the company, our people are anticipating what’s next to deliver the solutions our customers need now. Salary Range: $148,300.00 - $266,900.00 We value our employees and want our employees to take care of their overall wellbeing, which is why we offer best-in-class benefits such as medical, dental, vision, paid time off, 401(k), life insurance, flexible work schedules, and holidays to fit your busy lifestyle!
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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 onlyActive TS/SCI clearance w/Poly

What you’ll work on

Full posting
  • Design and integrate LLM and agent orchestration workflows using agentic frameworks

  • Tune model gateway routing across frontier and open-weight models

  • Build RAG pipelines, vector databases, and memory services for agents

  • Implement MCP-based tool-broker integrations for secure agent tool access

  • Build automated evaluation pipelines to track model and agent quality and safety

From the employer’s posting
Design and integrate LLM/agent orchestration workflows using agentic frameworks
Tune model gateway routing logic to select, evaluate, and optimize across multiple frontier and open-weight models
Develop and integrate RAG pipelines, vector databases, and memory services
Implement MCP (Model Context Protocol)-based tool-broker integrations
build automated evaluation pipelines to track quality, safety, and performance over time

What you’ll bring

All qualifications

Core experience

  • 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
  • Demonstrated experience building or integrating LLM/agent-based systems in production
  • Master's degree and 8+ years of relevant experience
  • Experience with retrieval-augmented generation (RAG), vector databases, and prompt/context engineering
  • Experience supporting USCYBERCOM, NSA, DoD cyber operations, or related mission environments
  • 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 10+ years of experience; 4 additional years of experience may be considered in lieu of degree
Demonstrated experience building or integrating LLM/agent-based systems in production
Master's degree and 8+ years of relevant experience
Experience with retrieval-augmented generation (RAG), vector databases, and prompt/context engineering
Experience supporting USCYBERCOM, NSA, DoD cyber operations, or related mission environments
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 10+ years of experience; 4 additional years of experience may be considered in lieu of degree - Active TS/SCI clearance w/Poly
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Status in our records
Live
First seen by us
Sep 30, 202636 days ago
Recorded sightings
97
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

Pay

In line with similar jobs

$148K–$267K against $166K–$240K, the middle half of what similar US postings state.

From 1,279 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 36

Similar jobs usually come down between day 6 and day 69.

At Parsons, jobs usually come down by about day 28.

From 4,423 similar postings that came down, and 66 of Parsons’s. Coming down is not always a hire.

Parsons is hiring

40 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • ML Engineer hiring has slowed
  • Takes jobs down at a usual pace
  • 8% of open jobs were reposted
Hiring record

See 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

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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

View original posting ↗

In a world of possibilities, pursue one with endless opportunities. Imagine Next!

 

At Parsons, you can imagine a career where you thrive, work with exceptional people, and be yourself. Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we cultivate an innovative culture that empowers you to achieve your full potential. Unleash your talent and redefine what’s possible.

 

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 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

Security Clearance Requirement:

An active Top Secret SCI w/Polygraph security clearance is required for this position.​

This position is part of our Federal Solutions team.

The Federal Solutions segment delivers resources to our US government customers that ensure the success of missions around the globe. Our intelligent employees drive the state of the art as they provide services and solutions in the areas of defense, security, intelligence, infrastructure, and environmental. We promote a culture of excellence and close-knit teams that take pride in delivering, protecting, and sustaining our nation's most critical assets, from Earth to cyberspace. Throughout the company, our people are anticipating what’s next to deliver the solutions our customers need now.

Salary Range: $148,300.00 - $266,900.00

We value our employees and want our employees to take care of their overall wellbeing, which is why we offer best-in-class benefits such as medical, dental, vision, paid time off, 401(k), life insurance, flexible work schedules, and holidays to fit your busy lifestyle!

Parsons is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status or any other protected status.

We truly invest and care about our employee’s wellbeing and provide endless growth opportunities as the sky is the limit, so aim for the stars! Imagine next and join the Parsons quest—APPLY TODAY!

Parsons is aware of fraudulent recruitment practices. To learn more about recruitment fraud and how to report it, please refer to https://www.parsons.com/fraudulent-recruitment/.

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Pay
The Federal Solutions segment delivers resources to our US government customers that ensure the success of missions around the globe. Our intelligent employees drive the state of the art as they provide services and solutions in the areas of defense, security, intelligence, infrastructure, and environmental. We promote a culture of excellence and close-knit teams that take pride in delivering, protecting, and sustaining our nation's most critical assets, from Earth to cyberspace. Throughout the company, our people are anticipating what’s next to deliver the solutions our customers need now. Salary Range: $148,300.00 - $266,900.00 We value our employees and want our employees to take care of their overall wellbeing, which is why we offer best-in-class benefits such as medical, dental, vision, paid time off, 401(k), life insurance, flexible work schedules, and holidays to fit your busy lifestyle!
Location & working pattern

US - MD (Field Location)

Working pattern and location restrictions need checking in the full posting.

Work authorization
- Experience supporting USCYBERCOM, NSA, or DoD AI/cyber mission environments Security Clearance Requirement: An active Top Secret SCI w/Polygraph security clearance is required for this position.​ This position is part of our Federal Solutions team.

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