Senior AI Engineer

We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you’ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We’re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you’ll do meaningful work with Workmates who’ve got your back. In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you’ve found a match in Workday, and we hope to be a match for you too.

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

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 in Canada, please click here. For more information regarding Workday’s comprehensive benefits in the US, please click here.

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