AI/ML Platform Engineer — Gov-Scale Platform

SAIC

United States

On-site

USD 150,000 - 210,000

Full time

5 days ago
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Job summary

SAIC is seeking a skilled AI/ML Platform Engineer to build the platform that enables teams to develop AI solutions at scale. The role spans traditional ML, Generative AI, and agentic AI, with a focus on governance, security, and telemetry across cloud partners like AWS and Databricks.

The engineer partners with customers from concept through delivery, ensuring workflows are scalable, maintainable, and production-ready. A strong emphasis on IaC, API security, and repeatable patterns is required.

Qualifications

  • Bachelor's or master's degree in computer science, machine learning, or a related field.
  • 5+ years of hands-on AI/ML engineering experience actively writing code, building pipelines, and architecting systems.

Responsibilities

  • Enable AI/ML platform services as a governed, multi-tenant enterprise offering.
  • Enable GenAI application building blocks and frontier model access layers.
  • Enable agentic AI patterns orchestration frameworks and tools integration.
  • Develop secure API-based model access and inference endpoints.
  • Document reusable patterns, frameworks, and APIs for repeat deployments.
  • Partner with customers from concept to delivery end to end.

Skills

Python programming
AI/ML platform engineering
Cross-paradigm AI

Education

Bachelor's or Master's in CS/ML

Tools

Databricks
SageMaker
Terraform
CloudFormation
PyTorch
TensorFlow
HuggingFace
LangChain

Job description

SAIC is seeking a skilled AI/ML Platform Engineer to build the platform that enables teams to develop AI solutions at scale. The role spans traditional ML, Generative AI, and agentic AI, with a focus on governance, security, and telemetry across cloud partners like AWS and Databricks.

The engineer partners with customers from concept through delivery, ensuring workflows are scalable, maintainable, and production-ready. A strong emphasis on IaC, API security, and repeatable patterns is required.

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