The role involves leading the design and deployment of novel agentic systems that power AI-driven capabilities at Workday
Job Summary
The role involves leading the design and deployment of novel agentic systems that power AI-driven capabilities at Workday.
Candidates must have deep expertise in Python, machine learning frameworks, and large-scale data processing to build production-grade code.
Workday offers a flexible work approach requiring 50% time in-office or field, along with competitive compensation including bonuses and stock grants.
Matching Summary
The role involves leading the design and deployment of novel agentic systems that power AI-driven capabilities at Workday.
Salary
Base: $156,000 - $234,000 CAD; Bonus/Equity: Eligible for Workday Bonus Plan and annual refresh stock grants; Benefits: Comprehensive benefits package described as linked
Skills & Requirements
Must-have
8+ years Machine Learning engineering experience
5+ years advanced Python development
Expertise in LLMs and agentic systems
Proficiency with PyTorch and TensorFlow
Experience with MLOps and Kubernetes
Strong background in distributed systems
Nice-to-have
Mentoring and coaching engineers
Architectural thinking skills
Collaboration across cross-functional teams
Curious minds and courageous collaborators
Key Requirements
Bachelor's degree in Computer Science or equivalent
8+ years professional ML/AI engineering experience