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About the job
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/ML model training and inference infrastructure
- Frontier AI models (large language models, multimodal models, etc.) and model-agnostic architectures
- GPU cluster architecture and high-performance AI computing
- MLOps, model deployment, and orchestration platforms
- Data fusion
- AI/ML frameworks
- COTS AI infrastructure and enterprise solution integration
- Partnerships with commercial AI providers and technology transfer
- Technical leadership and senior-level communication
- Rapid experimentation and use case development methodologies
Target salary range $180,000 - $220,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.
Target salary range $200,001 - $240,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.
