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.
Requirements
- 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.
Core Competencies
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.
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