Principal AI Engineer

Responsibilities

• Lead the end-to-end system design, architectural framework, and product integration of Workday’s next generation of intelligent agents.
• Architect how foundational models are safely and reliably integrated into production-grade software.
• Own the design, experimentation, and orchestration of complex agentic workflows.
• Be a core champion for Responsible and Governed AI, architecting systems with guardrails for data privacy and predictability.
• Balance high-level system design and hands‑on execution, solving critical product constraints like latency and reliability.

• 10+ years of professional software engineering experience with deep expertise in distributed systems, cloud computing, and API design.
• 2+ years of dedicated focus building production-grade LLM/agentic systems or 7+ years of experience specifically within Machine Learning Engineering or AI application development, with 3+ years dedicated to shipping LLM-backed products.
• 3+ years of hands‑on experience integrating large models and modern AI APIs into user‑facing enterprise products.
• 2+ years of experience designing and scaling complex AI orchestration architectures.
• 6+ years of experience optimizing application performance (specifically tackling constraints like API latency).
• 6+ years of proven experience leveraging cloud computing platforms to deploy highly responsive, scalable systems.
• Bachelor’s degree (Master’s preferred) in Computer Science, Software Engineering, or equivalent technical field.
• Responsible AI stewardship knowledge.

Demonstrates expertise in designing and integrating production‑grade AI systems, with a strong focus on Responsible AI practices and optimizing application performance. Proven ability to lead complex architectural frameworks and orchestrate workflows in cloud computing environments.