About the Team
Agent Factory is where Workday’s next chapter gets built. We’re forming small, senior, cross-functional AI teams that bring together product leaders, AI engineers, and full-stack builders to create intelligent agents used by millions of people every day. This is production-grade AI—deeply embedded into Workday’s platform—not research experiments or maintenance work. Teams own problems end to end, collaborate tightly across disciplines, and use the right tools to solve real customer challenges at global scale. You’ll work at the intersection of AI, platform architecture, and human workflows, with the autonomy to shape how agents reason, act, and scale responsibly. High trust, high expectations, and real impact. Engineering, but brighter.
About the Role
As an AI Engineer in Agent Factory, you will develop and integrate the intelligent feature layers behind Workday’s next generation of AI agents. While our ML Engineers focus on building, training, and optimizing foundational algorithms, your mission is intelligence orchestration and product delivery—connecting the brain to the product.Working within a collaborative, cross-functional pod, you’ll implement how pre-trained foundational models (LLMs, vision APIs, etc.) power functional, user-facing enterprise software. You will be hands-on with building Retrieval-Augmented Generation (RAG) pipelines, managing orchestration frameworks, and continuous prompt engineering. This role sits at the intersection of AI application building and software engineering: you will work closely with senior engineers, product managers, and designers to turn cutting-edge agentic workflows into highly responsive, reliable, and user-centric features embedded directly into the Workday stack.
About You
About You
Basic Qualifications
- 5+ years of professional software engineering experience, with a solid track record of developing, testing, and deploying production code.
- 1+ years of professional experience (or a strong, demonstrable portfolio of applied project work) working with Large Language Models (LLMs), foundational models, or modern AI APIs.
- Demonstrated experience working with AI orchestration concepts (e.g., LangChain, LlamaIndex, or similar tooling) and a strong foundation in prompt engineering to build functional LLM-powered features.
- 2+ years of hands-on experience with API integration, backend application development, and managing data pipelines.
- 2+ years of experience working with core development languages (such as Python) and handling modern software engineering workflows (CI/CD, testing frameworks, and version control).
Other Qualifications
- Bachelor’s degree (Master’s preferred) in Computer Science, Software Engineering, or an equivalent technical field.
- Product & Application Focus: A strong interest in user experience and a passion for applying AI capabilities to solve practical, real-world customer problems.
- Hands-on Orchestration: Familiarity with AI orchestration concepts, vector databases, semantic search, and prompt optimization techniques.
- Data Fluency: Experienced in handling data exploration, transformation, and integrating varied data sources to contextually ground AI outputs.
- Agile Collaboration: Proven ability to thrive in a team environment, collaborating closely with software developers, product managers, and UX designers.
- Curiosity & Growth Mindset: Eagerness to stay up to date with the rapid advancements in generative AI, autonomous agents, and LLM application design.
Workday Pay Transparency Statement
The annualized base salary ranges for the primary location and any additional locations are listed below. Workday pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidate’s compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. For more information regarding Workday’s comprehensive benefits, please .
Primary Location: USA.CA.Pleasanton
Primary Location Base Pay Range: $173,000 USD - $259,000 USD
Additional US Location(s) Base Pay Range: $147,000 USD - $259,000 USD
Our Approach to Flexible Work
With Flex Work, we’re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote "home office" roles also have the opportunity to come together in our offices for important moments that matter.
