Senior AI Engineer – AI Product Integration

Job Description

Senior AI Engineer | Workday

The Tone:
This is a full-time hybrid role at Workday, located in Pleasanton, California, offering flexible work arrangements. Workday is a Fortune 500 company and a leading AI platform, shaping the future of work by developing solutions for managing people, money, and agents. This specific role is within Agent Factory, a key team building Workday’s next chapter through intelligent agents used by millions daily. The work involves production-grade AI, deeply embedded into Workday’s platform, requiring engineering rigor to solve real customer challenges at global scale. The company values integrity, empathy, and shared enthusiasm, seeking curious minds and courageous collaborators to do meaningful work with support and autonomy.

The TL;DR
• Role: Full Time
• Type: Flex Work (at least 50% in-office/field each quarter)
• Location: Hybrid – Pleasanton, California
• Pay: $208000–$312000 USD yearly
• Team: Agent Factory, a small, senior, cross-functional AI team comprising product leaders, AI engineers, and full-stack builders.
• Mission: Drive the end-to-end system design, implementation, and product integration for next-generation intelligent agents, focusing on intelligence orchestration and connecting AI capabilities to product delivery.
• Tech Stack: Production evaluation frameworks (e.g., LangSmith, Langfuse)

What You’ll Actually Do
• Integrate: Develop and integrate foundational models safely and reliably into functional, production-grade software within Workday’s enterprise platform.
• Orchestrate: Design, experiment with, and orchestrate complex agentic workflows, translating cutting-edge AI capabilities into scalable business value.
• Safeguard: Implement strict guardrails for data privacy, predictability, and explainability, contributing significantly to Responsible and Governed AI practices.
• Evaluate: Set the strategy for evaluating agent performance, which includes designing evaluation datasets, test suites, and automated metrics tied to product requirements.
• Lead & Mentor: Share technical knowledge, mentor teammates, and provide technical leadership to help raise the overall technical bar within the Agent Factory team.

The Must-Haves
• Background: Senior AI Engineer with a strong foundation in software engineering, focused on the intersection of AI capabilities, enterprise platforms, and human workflows, particularly involving sensitive financial data.
• Experience: 8+ years in software engineering, including 2+ years integrating large models (LLMs, Foundation Models) and modern AI APIs into user-facing products, and 1+ years in agent evaluations.
• Skills: End-to-end system design and product integration for agentic AI, intelligence orchestration, translating AI capabilities into scalable business value, implementation of Responsible AI guardrails, and evaluating multi-step agent behavior. Ability to drive work independently, strong communication skills for technical and non-technical partners, and comfort with ambiguity.
• Bonus: Experience designing evaluation datasets (golden sets, production traces, synthetic data), knowledge of production evaluation frameworks (LangSmith, Langfuse), familiarity with software development best practices (DevOps, CI/CD, automated testing, observability), and understanding of governance and security for sensitive enterprise data.