AI Engineer

Workday • Pleasanton, CA

26d • Hybrid

About The Position

As an AI Engineer in Workday’s Agent Factory, you will develop and integrate intelligent feature layers for the next generation of AI agents. The role focuses on intelligence orchestration and product delivery: connecting pre-trained foundational models, such as large language models and vision APIs, to functional, user-facing enterprise software. You will work in a cross-functional pod to build Retrieval-Augmented Generation (RAG) pipelines, manage orchestration frameworks, and continuously engineer prompts. Working closely with senior engineers, product managers, and designers, you will turn agentic workflows into responsive, reliable, user-centric features embedded in the Workday platform. The team builds production-grade AI for customers at global scale and owns problems end to end.

Requirements

• At least 5 years of professional software engineering experience developing, testing, and deploying production code.
• At least 1 year of professional experience working with LLMs, foundational models, or modern AI APIs, or a strong, demonstrable portfolio of applied project work in this area.
• Demonstrated experience with AI orchestration concepts, such as LangChain or LlamaIndex, and a strong foundation in prompt engineering for LLM-powered features.
• At least 2 years of hands-on experience with API integration, backend application development, and data pipeline management.
• At least 2 years of experience with core development languages such as Python and modern software engineering workflows, including CI/CD, testing frameworks, and version control.
• Strong interest in user experience and applying AI to practical customer problems.
• Experience exploring and transforming data and integrating varied data sources to ground AI outputs contextually.
• Ability to collaborate with software developers, product managers, and UX designers in a team environment.
• Eagerness to stay current with generative AI, autonomous agents, and LLM application design.

Nice To Haves

• Bachelor’s degree in Computer Science, Software Engineering, or an equivalent technical field; a master’s degree is preferred.
• Familiarity with vector databases, semantic search, and prompt optimization techniques.

Responsibilities

• Develop and integrate intelligent feature layers for Workday AI agents.
• Implement applications that use pre-trained foundational models, including LLMs and vision APIs.
• Build Retrieval-Augmented Generation (RAG) pipelines and manage AI orchestration frameworks.
• Perform continuous prompt engineering to build functional LLM-powered features.
• Integrate agentic workflows into reliable, responsive, user-centric enterprise software embedded in the Workday platform.
• Collaborate with senior engineers, product managers, and designers to deliver AI features.
• Develop, test, and deploy production software; integrate APIs, develop backend applications, and manage data pipelines.

Benefits

• May be eligible for the Workday Bonus Plan or a role-specific commission/bonus.
• May be eligible for annual refresh stock grants.
• Comprehensive benefits are referenced, but specific benefits are not listed in the posting.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior