SAIC
AI/ML Engineer
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Job Description
Job ID: 2615905
Location
Chantilly, VA, US
Date Posted
2026-08-26
Category
Engineering and Sciences
Subcategory
Machine Learning Engineer
Schedule
Full-Time
Shift
Day Job
Travel
Yes - 10% of the time
Minimum Clearance Required
TS.SCI_wPoly
Clearance Level Must Be Able to Obtain
None
Potential for Remote Work
ORA_ON_SITE
Description
SAIC is seeking an experienced AI/ML Engineer to serve as a senior technical advisor, ensuring infrastructure supports frontier AI models, mission use cases, and rapid R&D experimentation. Support model-agnostic infrastructure leveraging partnerships with AI Titans and existing enterprise solutions.
Responsibilities include but are not limited to
- Provide expert guidance on AI/ML infrastructure requirements for models, including, for example frontier and foundational models
- Assess technical approaches for GPU cluster architecture, model training, and inference at scale
- Evaluate contractor’s model-agnostic approach and partnerships with AI Titans
- Support evaluation of AI/ML use cases
- Advise on data fusion architectures across datasets
- Assess AI model deployment, orchestration, and Machine Learning Ops (MLOps) requirements for rapid experimentation
- Guide R&D experimentation framework and capability demonstration planning
- Support experimentation support contract coordination with use case development
- Evaluate hardware benchmark performance against requirements
- Support onboarding and sustainment model development
- Support briefings to senior leadership on AI technical approaches, risks, and use case readiness
Qualifications
Required Experience
- Active TS SCI w/Poly
- Bachelor’s degree and 14 years or more experience; Master’s degree and 12 years or more experience; PhD and 9 years or more experience
- 10+ years in data management and processing experience with strong emphasis in AI/ML
- Deep expertise in AI/M
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