Description
We’re looking for a Principal AI Engineer to join our Agent Factory team, where you’ll design and build the core ML systems behind Workday’s next generation of AI agents. You’ll work within a small, senior, cross-functional pod, owning how models, agent logic, and orchestration layers come together in production. You'll implement and evolve frameworks for LLM-powered agents, including RAG pipelines, workflow orchestration, evaluation, and feedback loops. This role sits at the intersection of ML and platform engineering, partnering closely with software engineers, product managers, and data scientists to integrate agents deeply into the Workday stack.
Responsibilities
- Design and build core ML systems for Workday's AI agents
- Own the full lifecycle of models, agent logic, and orchestration layers
- Implement and evolve frameworks for LLM-powered agents
- Partner with software engineers, product managers, and data scientists
- Stay hands-on with emerging techniques in agentic architectures
Requirements
- 10+ years experience in data science, machine learning engineering, or relevant software development
- 4+ years of experience with machine learning and deep learning frameworks
- 6+ years of experience building services to host machine learning models in production
- 3+ years of experience working with large language models
- 6+ years of experience with cloud computing platforms
- Proven track record of leading, mentoring, and managing ML Engineering teams
Benefits
- Competitive salary ($188,000 - $282,000 CAD)
- Annual refresh stock grants
- Comprehensive benefits package
- Flexible work arrangements (Flex Work)
Work Environment
- Primary location: Vancouver, BC, Canada
- Remote and hybrid work options available