Parsons

AI/ML Engineer TS/SCI

United States · Work style not stated · Full time

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About the role

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  • EmployerParsons
  • LocationUnited States
  • Work styleWork style not stated
  • Employment typeFull time
  • Employer posted

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.

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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 - $196,400.00

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 tohttps://www.parsons.com/fraudulent-recruitment/.

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At a glance

  • Employment typeFull time
  • Employer posted
  • Added to ROLIVA
  • Last checked

Skills in this posting

Skills ROLIVA found in the employer’s own description above. A mention is not a requirement.

Python Machine learning LLM

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