AI/ML Engineer

Saic; Chantilly (VA); On-site; USD 180,000 - 240,000; Full time

Job summary

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. Lead model-agnostic infrastructure and collaborate with AI Titans and enterprise solutions to drive implementation across platforms.

Responsibilities include guiding GPU cluster architecture, model training and inference at scale, and evaluating data fusion architectures.

Qualifications

• Bachelor’s degree or higher required with extensive AI/ML experience.
• 10+ years in data management and AI/ML infrastructure.
• Deep expertise in AI/ML model training and inference infrastructure.

Responsibilities

• Provide expert guidance on AI/ML infrastructure for frontier models.
• Assess GPU cluster architecture, training, and inference at scale.
• Evaluate partnerships with commercial AI providers and AI Titans.
• Support evaluation of AI/ML use cases and data fusion architectures.
• Advise on MLOps, deployment, and orchestration for rapid experimentation.
• Lead briefings to senior leadership on AI approaches and risks.

Skills

Data management

AI/ML model training

Frontier AI models

Leadership & communication

Rapid experimentation

Education

Bachelor’s degree

Master’s degree

PhD

Tools

GPU clusters

MLOps platforms

AI frameworks

Enterprise integration

Job description

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.