AI/ML Engineer

SAIC • Chantilly, VA

2d

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.

Requirements

• 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

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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior