SAIC

AI/ML Engineer

SAIC$180K — $220K *
Enterprise Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Active TS SCI w/Poly clearance required
  • Bachelor's degree with 14+ years, Master's with 12+ years, or PhD with 9+ years of experience
  • Over 10 years in data management and AI/ML emphasis
  • Expertise in AI/ML model training and infrastructure
  • Experience with frontier AI models like large language and multimodal models
  • Strong knowledge of GPU cluster architecture
  • Familiarity with MLOps and model orchestration
  • Experience in data fusion and AI frameworks

Responsibilities

  • Provide expert guidance on AI/ML infrastructure for various models
  • Assess technical approaches for GPU cluster architecture and inference
  • Evaluate contractors' AI/ML approaches and AI partners
  • Support AI/ML use case evaluations
  • Advise on data fusion architectures
  • Assess deployment and MLOps for rapid experimentation
  • Guide R&D experimentation framework and capability demos
  • Coordinate experimentation support with use case development

Benefits

  • Opportunity for leadership in high-impact projects
  • Access to cutting-edge AI technology and infrastructure
  • Collaboration with top-tier AI partners
  • Focus on innovation through rapid experimentation
  • Engaging work environment with senior leadership communication opportunities
Full Job Description
Job 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.

About SAIC

Science Applications International Corporation (SAIC) is a technology integrator in the technical, engineering, intelligence, and enterprise information technology markets. SAIC has approximately 26,000 employees and operates in more than 70 countries. The company was founded in 1969 and is headquartered in Reston, Virginia. SAIC provides services to the U.S. government, including the Department of Defense, the intelligence community, and civilian agencies. The company also serves commercial customers in the healthcare, energy, and financial services sectors.
Learn more about SAIC
Size
26,000 employees
Market Cap
$6 billion
Industry
Net Income
$206 million
Founded
1969
5 Year Trend
+10.7%
Revenue
$6.8 billion
NASDAQ

Similar Jobs

More Jobs at SAIC

More Enterprise Technology Jobs

Find similar AI/ML Engineer jobs: