AI/ML Engineer

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.

SAIC is a premier technology integrator providing full life cycle services and solutions in the technical, engineering, intelligence, and enterprise information technology markets. SAIC is Redefining Ingenuity through its deep customer and domain knowledge to enable the delivery of systems engineering and integration offerings for large, complex projects. SAIC's approximately 15,000 employees are driven by integrity and mission focus to serve customers in the U.S. federal government. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $4.5 billion. For more information, visit saic.com. For information on the benefits SAIC offers, see .