Senior AI Engineer
Your work days are brighter here.
About the Team
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
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
spend at least half (50%) of our time each quarter in the office or in the field
Not included in the source posting: benefits.
Skills
Who can apply
The employer didn't state any visa, work authorization, citizenship or clearance requirements in this posting. Confirm with the employer before applying.
Read automatically from the employer's posting text. Always confirm with the employer — requirements can change after a job is published.