This role involves designing and building the core ML systems behind Workday's next generation of AI agents within a small, senior cross-functional pod
Job Summary
This role involves designing and building the core ML systems behind Workday's next generation of AI agents within a small, senior cross-functional pod.
Candidates will implement and evolve frameworks for LLM-powered agents including RAG pipelines, workflow orchestration, and evaluation loops.
The position offers high trust and autonomy to shape how agents reason, act, and scale responsibly while working at the intersection of AI and platform architecture.
Matching Summary
This role involves designing and building the core ML systems behind Workday's next generation of AI agents within a small, senior cross-functional pod.
Salary
Base: $228,000 - $342,000 USD; Bonus/Equity: Eligible for Workday Bonus Plan and annual refresh stock grants; Benefits: Comprehensive benefits package available
Skills & Requirements
Must-have
10+ years applied machine learning experience
4+ years PyTorch or TensorFlow frameworks
6+ years hosting ML models at scale
3+ years Large Language Models experience
6+ years cloud computing platforms AWS GCP
Nice-to-have
Experience with graph neural network models
Deep understanding of statistical analysis
Proven track record leading engineering teams
Ability to solve ambiguous open-ended problems
Strong interpersonal communication skills
Key Requirements
Bachelor's degree in engineering, computer science, physics, math or equivalent
Master's or PhD preferred
Proven leadership and mentoring experience
Experience taking products through applied research to production