AI/ML Engineer
About The Position
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. SAIC® is a premier mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, intelligence, and civilian markets includes secure high-end solutions in mission IT, enterprise IT, engineering services, and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives. We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.
Requirements
- Experienced AI/ML Engineer
- Serve as a senior technical advisor
- Ensure 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
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
