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# Al Engineer

- **Company:** Noblis Inc.
- **Location:** Bethesda, MD, United States
- **Experience:** Expert
- **Salary:** $171,525.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Business Software, Data Architecture, Machine Learning, Generative AI, Machine Learning Operations, Virtual Agents
- **Published:** July 7, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9016354/al-engineer

## About the Role

* Active Top Secret/SCI clearance with Polygraph.
 * US Citizenship is required.
 * Bachelor's degree in B-STEM with 3 years of experience OR Master's Degree in B-STEM with 0 years of experience OR associate's degree with 6 years of experience OR High-School/High School equivalency diploma with 9 years of experience.
 * Experience planning and executing int e g rat ion of Al services int o mission and business applications , including A Pis and worktlow automation.
 * Experience establishing MLOps int e g rat ion patterns (Cl/CD , model registry concepts, monitoring) aligned to enterprise platforms.
 * Experience partnering with mission and business owners to translate requirements int o implementable Al solutions and pilots.
 * Experience ensuring Al solutions incorporate security controls and responsible Al practices appropriate to the environment.
 * Experience conducting technical evaluations and int e g rat ion planning for COTS / GOTS tools and enterprise Al platforms.
 * Experience tracking performance and outcomes ; develop decision briefs for leadership.

## Description

Noblis is seeking cleared AI Engineer to support our customer in Bethesda, Maryland, supporting a SETA contract.

This role is critical to developing, deploying, and maintaining advanced AI/ML models that support the IC community. The ideal candidate will possess deep expertise or understanding in machine learning, generative AI, and emerging Agentic AI technologies, while operating with strict governance frameworks and security requirements., * Support Enterprise Data Architecture integrated with the IC enterprise architectures.

 * P lanning and executing int e g rat ion of Al services int o mission and business applications.
 * Establishing MLOps int e g rat ion patterns (Cl/CD , model registry concepts, monitoring) aligned to enterprise platform.
 * Tr anslate requirements int o implementable Al solutions and pilots.
 * Ensuring Al solutions incorporate security controls and responsible Al practices appropriate to the environment.
 * Collaborate with AI/ML Modeler Engineers, Data Scientists, and Data Engineers to translate analytical findings into production-ready solutions.


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