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 a Senior AI Engineer in Agent Factory, you will drive the end-to-end system design, implementation, and product integration for a core domain of Workday’s next generation of intelligent 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.
Sitting at the intersection of AI capabilities, enterprise platforms, and human workflows, you will develop and integrate foundational models safely and reliably into functional, production-grade software. You will be hands-on in the design, experimentation, and orchestration of complex agentic workflows, translating cutting-edge AI capabilities into scalable business value. Because these agents interact with sensitive financial data at a global scale, you will be a key contributor to Responsible and Governed AI—implementing strict guardrails for data privacy, predictability, and explainability within your pod. This role requires a balance of domain-level system architecture and rigorous execution, solving critical product constraints like latency, cost, and reliability.
Your responsibilities
- Design and deliver effective agentic AI experiences for Workday Financials customers
- Set the strategy for evaluating agent performance
- Collaborate in an iterative, team-first environment that values strong engineering practices and continuous learning
- Share knowledge, mentor teammates, and help raise the technical bar across the team
About You
Basic Qualifications:
- 8+ years experience in software engineering
- 2+ years experience integrating large models (LLMs, Foundation Models) and modern AI APIs into user-facing products
- 1+ years experience in agent evaluations
Other Qualifications:
- Experience designing evaluation datasets, test suites, and automated metrics tied to product requirements (e.g. golden sets, production traces, synthetic data)
- Experience evaluating multi-step agent behavior (e.g. tool use, task completion, trajectories)
- Experience with production evaluation frameworks (e.g. LangSmith, Langfuse)
- Knowledge of software development best practices (DevOps, CI/CD, automated testing, observability)
- High sense of agency to drive work forward independently
- Strong communication skills, with the ability to collaborate with technical and non-technical partners
- Comfortable working with ambiguity and translating complex problems into clear, thoughtful solutions
- Committed to fostering an inclusive, team-oriented environment and contributing to a culture of continuous improvement
- Track record of technical leadership and mentoring engineers
- Understanding of governance, guardrails, and security practices when deploying agents over sensitive enterprise data
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 candidate27s 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 Workday27scomprehensive benefits in Canada, please . For more information regarding Workday27s comprehensive benefits in the US, please click here.
Primary Location: USA.CA.Pleasanton
Primary Location Base Pay Range: $208,000 USD - $312,000 USD
Additional CAN Location(s) Base Pay Range: $169,000 - $253,000 CAD
Our Approach to Flexible Work
With Flex Work, we27re 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 you27ll 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 22home office22 roles also have the opportunity to come together in our offices for important moments that matter.
