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Engineering Opportunities in San Jose, CA - News Directory 3

Engineering Opportunities in San Jose, CA

August 3, 2026 Robert Mitchell News
News Context
At a glance
  • Workday is seeking a Senior Agentic AI Engineer for its operations in San Jose, California, to develop autonomous AI systems.
  • The recruitment effort in San Jose targets engineers capable of shaping the future of agentic AI.
  • The company describes the San Jose location as a hub where engineering skills can flourish while building these autonomous systems.
Original source: adobe.wd5.myworkdayjobs.com

Workday is seeking a Senior Agentic AI Engineer for its operations in San Jose, California, to develop autonomous AI systems. The role focuses on creating engineering solutions that allow AI agents to execute complex tasks independently, according to a company job posting discovered on August 3, 2026.

Workday Agentic AI Engineering Goals

The recruitment effort in San Jose targets engineers capable of shaping the future of agentic AI. Unlike traditional AI, which typically responds to prompts, agentic AI is designed to pursue goals by planning, using tools, and adapting its behavior without constant human intervention. Workday intends to integrate these capabilities into its enterprise software suite to automate business processes.

The company describes the San Jose location as a hub where engineering skills can flourish while building these autonomous systems. The position requires a background in high-level AI engineering to move the company’s current capabilities toward more autonomous agent frameworks.

Role Requirements in San Jose

The Senior Agentic AI Engineer will be responsible for the architectural design and implementation of AI agents. According to the job description, the role involves developing systems that can reason through multi-step problems and interact with Workday’s existing data infrastructure to execute workflows.

Key technical focuses for the role include:

  • Designing autonomous agent loops and planning modules.
  • Integrating large language models (LLMs) with external tools and APIs.
  • Optimizing the reliability and accuracy of AI-driven actions within enterprise environments.

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