Senior AI Engineer

Workday • Pleasanton, CA

9d • Hybrid

About The Position

Workday’s Agent Factory is forming small, senior, cross-functional AI teams to build production-grade intelligent agents embedded in Workday’s platform. The team brings together product leaders, AI engineers, and full-stack builders to address customer challenges at global scale. Work involves AI, platform architecture, and human workflows, with teams owning problems end to end and shaping how agents reason, act, and scale responsibly.

As a Senior AI Engineer, you will drive end-to-end system design, implementation, and product integration for a core domain of Workday’s next generation of intelligent agents. The role focuses on intelligence orchestration and product delivery: integrating foundational models safely and reliably into production-grade software, designing and experimenting with complex agentic workflows, and translating AI capabilities into scalable business value. You will contribute to Responsible and Governed AI by implementing guardrails for privacy, predictability, and explainability when agents interact with sensitive financial data. The role balances domain-level system architecture with hands-on execution to address latency, cost, and reliability constraints.

Requirements

• At least 8 years of experience in software engineering.
• At least 2 years of experience integrating large models (LLMs or foundation models) and modern AI APIs into user-facing products.
• At least 1 year of experience in agent evaluations.
• Experience designing evaluation datasets, test suites, and automated metrics tied to product requirements, such as golden sets, production traces, or synthetic data.
• Experience evaluating multi-step agent behavior, such as tool use, task completion, and trajectories.
• Knowledge of software development best practices, including DevOps, CI/CD, automated testing, and observability.
• High sense of agency and ability to drive work forward independently.
• Strong communication skills and ability to collaborate with technical and non-technical partners.
• Comfort working with ambiguity and translating complex problems into clear, thoughtful solutions.
• Commitment to fostering an inclusive, team-oriented environment and contributing to continuous improvement.
• Track record of technical leadership and mentoring engineers.
• Understanding of governance, guardrails, and security practices when deploying agents over sensitive enterprise data.

Nice To Haves

• Experience with production evaluation frameworks such as LangSmith or Langfuse.

Responsibilities

• Design and deliver effective agentic AI experiences for Workday Financials customers.
• Set the strategy for evaluating agent performance.
• Drive end-to-end system design, implementation, and product integration for a core domain of intelligent agents.
• Design, experiment with, and orchestrate complex agentic workflows, integrating foundational models into production-grade software.
• Implement guardrails for data privacy, predictability, and explainability for agents handling sensitive enterprise data.
• Collaborate in an iterative, team-first environment that values strong engineering practices and continuous learning.
• Share knowledge, mentor teammates, and help raise the team’s technical bar.

Benefits

• May be eligible for the Workday Bonus Plan or a role-specific commission/bonus.
• May be eligible for annual refresh stock grants.
• Workday states that comprehensive benefits information is available for the US and Canada.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed