Pay
Lower than most similar jobs
$112K–$196K 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.
AI/ML Engineer TS/SCI
US - VA, Arlington
Live, first seen by us 43 days ago- Pay
$112,200–196,400/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: $112,200.00 - $196,400.00 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!
Read the full posting- 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 security clearance
What you’ll work on
Full postingDesign and implement AI agentic workflows that classify, summarize, enrich and route lessons-learned data
Develop and integrate AI/ML capabilities within MSS Foundry applications
Build and maintain APIs and services that let AI capabilities interact with Foundry and data platforms
Monitor production AI/ML systems and troubleshoot performance, reliability and integration issues
From the employer’s posting
Design and implement AI agentic workflows that automate classification, summarization, enrichment, and intelligent routing of lessons-learned information
Develop and integrate AI/ML capabilities within MSS Foundry applications
Design, develop, and maintain robust APIs and services that enable AI capabilities to interact with Foundry applications, data platforms, and external systems
Monitor production AI/ML systems and troubleshoot performance, reliability, and integration issues
Education & alternatives
- Active TS/SCI security clearance - Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or related field - Minimum 5 years of experience in machine learning, AI engineering, software engineering, or a related technical field
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 23, 202643 days ago
- Recorded sightings
- 108
- 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 43
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
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
- Databricks
- MLflow
Where the posting names them
- Experience developing AI/ML APIs, services, or application integrations - Proficiency in Python and experience with modern AI/ML frameworks and libraries - Experience with MLOps and machine learning lifecycle management
- Design, develop, and maintain robust APIs and services that enable AI capabilities to interact with Foundry applications, data platforms, and external systems - Leverage Databricks MLOps capabilities, including MLflow and Databricks Workflows, to support model lifecycle management, orchestration, experimentation, and deployment - Develop automated processes for model validation, evaluation, monitoring, and continuous improvement of AI/ML capabilities
- Experience with MLOps and machine learning lifecycle management - Experience with Databricks, including MLflow and/or Databricks Workflows - Experience developing, orchestrating, and monitoring production AI/ML workflows
- Experience integrating AI/ML capabilities into Foundry applications - Experience with Databricks Model Serving, Feature Engineering, MLflow, or Unity Catalog - Experience with REST APIs, microservices, and cloud-native application architectures
Your next step
Complete your application on parsons.wd5.myworkdayjobs.com. The employer’s form will show what is required.
Applying through Workday
- You create an account with each employer before you can upload anything. Every Workday employer has its own account, so one sign-up doesn’t carry over.
- “Autofill with Resume” comes right after sign-in, before the My Information and My Experience steps. Check every field it fills in those steps, since that’s what recruiters see.
- Your application status lives in that employer’s Candidate Home, under the same sign-in.
Already applied? Track this application
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
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:
Job Description:
Parsons is looking for a highly skilled ML/AI Engineer to join our Joint Staff Chief Digital and Artificial Intelligence Office (CDAO) team. In this role, you will design, develop, and operationalize AI/ML capabilities within Maven Smart System (MSS) Foundry, enabling automated processing and intelligent management of lessons-learned data. You will develop agentic AI workflows, production-grade APIs and services, and MLOps capabilities that enable AI models to be deployed, monitored, validated, and continuously improved within secure DoD environments.
What You'll Be Doing:
- Design and implement AI agentic workflows that automate classification, summarization, enrichment, and intelligent routing of lessons-learned information
- Develop and integrate AI/ML capabilities within MSS Foundry applications and supporting mission systems
- Design, develop, and maintain robust APIs and services that enable AI capabilities to interact with Foundry applications, data platforms, and external systems
- Leverage Databricks MLOps capabilities, including MLflow and Databricks Workflows, to support model lifecycle management, orchestration, experimentation, and deployment
- Develop automated processes for model validation, evaluation, monitoring, and continuous improvement of AI/ML capabilities
- Design scalable AI/ML solutions capable of operating reliably in production environments
- Integrate structured and unstructured data sources to support AI-enabled mission workflows
- Collaborate with software engineers, data engineers, mission stakeholders, and other technical teams to translate operational requirements into AI/ML solutions
- Monitor production AI/ML systems and troubleshoot performance, reliability, and integration issues
- Apply responsible AI, security, data governance, and model management practices appropriate for secure DoD environments
What Required Skills You'll Bring:
- Active TS/SCI security clearance
- Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or related field
- Minimum 5 years of experience in machine learning, AI engineering, software engineering, or a related technical field
- Hands-on experience developing and deploying machine learning or AI solutions in production environments
- Experience developing AI/ML APIs, services, or application integrations
- Proficiency in Python and experience with modern AI/ML frameworks and libraries
- Experience with MLOps and machine learning lifecycle management
- Experience with Databricks, including MLflow and/or Databricks Workflows
- Experience developing, orchestrating, and monitoring production AI/ML workflows
- Strong understanding of model evaluation, validation, monitoring, and performance optimization
- 7 years of related work experience
What Desired Skills You'll Bring:
- Experience with Palantir Foundry / MSS Foundry
- Experience developing AI agents, agentic workflows, or LLM-powered applications
- Experience with LLMs, prompt engineering, retrieval-augmented generation (RAG), embeddings, vector databases, or similar generative AI technologies
- Experience applying AI/ML to classification, summarization, information extraction, recommendation, or intelligent routing
- Experience integrating AI/ML capabilities into Foundry applications
- Experience with Databricks Model Serving, Feature Engineering, MLflow, or Unity Catalog
- Experience with REST APIs, microservices, and cloud-native application architectures
- Experience supporting Joint Staff or DoD operational missions
- Familiarity with DoD AI/ML governance, responsible AI, data security, and compliance requirements
- Experience working with structured and unstructured operational data
- Advanced degree or certifications in AI/ML, data science, cloud, or related technical disciplines
Security Clearance Requirement:
An active Top Secret SCI 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: $112,200.00 - $196,400.00We 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/.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- 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: $112,200.00 - $196,400.00 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 - VA, Arlington
Working pattern and location restrictions need checking in the full posting.
- Work authorization
What Required Skills You'll Bring: - Active TS/SCI security clearance - Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or related field
More source context
- Advanced degree or certifications in AI/ML, data science, cloud, or related technical disciplines Security Clearance Requirement: An active Top Secret SCI security clearance is required for this position. This position is part of our Federal Solutions team.