AI Platform Engineer – Document Intelligence

Workday, Inc.

Pleasanton (CA)

Hybrid

USD 148,000 - 222,000

Full time

4 days ago
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Job summary

Workday, Inc. is seeking a Software Development Engineer for the Document Intelligence team to build and deploy scalable AI platforms.

You will collaborate with ML researchers to turn innovative concepts into production-ready solutions, emphasizing planning, reasoning, and action execution frameworks. Responsibilities include developing AI platform capabilities, secure RESTful services with Python and Kubernetes, and aligning with cross-functional teams to translate requirements into technical

Qualifications

  • 5+ years of software development experience including designing, developing, and deploying software solutions.
  • 2+ years of Python experience with production code and systems.
  • 2+ years in building scalable data pipelines and large-scale datasets.
  • 2+ years deploying production services to cloud platforms (AWS/Azure/GCP) with Docker/Kubernetes for MLOps.

Responsibilities

  • Implement AI platforms focusing on tool calling, multi-agent architectures, and human-in-the-loop integrations.
  • Build ML infrastructure and secure RESTful microservices using Python and Kubernetes for scalable, multi-tenant runtimes.
  • Collaborate in design reviews and code quality initiatives to keep codebase maintainable, testable, and efficient.

Skills

Python
Kubernetes
Docker
Cloud platforms
ML platforms

Education

Bachelor's degree in Computer Science/Engineering

Tools

RESTful APIs
CI/CD

Job description

Workday, Inc. is seeking a Software Development Engineer for the Document Intelligence team to build and deploy scalable AI platforms.

You will collaborate with ML researchers to turn innovative concepts into production-ready solutions, emphasizing planning, reasoning, and action execution frameworks. Responsibilities include developing AI platform capabilities, secure RESTful services with Python and Kubernetes, and aligning with cross-functional teams to translate requirements into technical

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