Sr Principal Machine Learning Engineer
@ Workday

Vancouver, BC
$300,000
On Site
Full Time
Posted 9 hours ago

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Job Details

About Workday

Your work days are brighter here. At Workday, our roots began with a conversation over breakfast and have grown into a people-first, employee-centric culture. We value growth, innovation, and passion while looking after our people, communities, and the planet.

About the Team

Join the AI Agent Engineering team and help pioneer cutting-edge HR & Finance AI Agents integrated within the Workday suite.

About the Role

The Sr Principal Machine Learning Engineer will serve as a technical architect for a cross-functional team. The role involves defining tooling strategies, evaluating AI frameworks, orchestrating agent workflows, and integrating enterprise AI technologies into the Workday stack. You will work closely with product, engineering, and data science teams to create scalable, reliable, and trusted AI agents for HR and Finance.

  • Architect AI-powered agents for HR and finance workflows.
  • Evaluate and integrate AI tools, frameworks, and platforms.
  • Drive innovations in LLMs, RAG, and autonomous agents.
  • Collaborate across teams to translate business needs into solutions.
  • Establish best practices for design, security, and governance in AI applications.

Key Skills/Competency

  • Machine Learning
  • AI Agents
  • LLMs
  • Cloud AI
  • Automation
  • Python
  • Enterprise Integration
  • Agent Orchestration
  • Data Privacy
  • Compliance

How to Get Hired at Workday

🎯 Tips for Getting Hired

  • Customize your resume: Highlight relevant AI and cloud experience.
  • Research Workday's culture: Study their people-first approach and innovations.
  • Emphasize technical skills: Showcase machine learning and AI agent expertise.
  • Prepare for behavioral questions: Reflect on collaboration and leadership scenarios.

📝 Interview Preparation Advice

Technical Preparation

Review AI frameworks and LLM deployment.
Practice Python coding for cloud solutions.
Study orchestration frameworks like LangGraph.
Brush up on data privacy compliance standards.

Behavioral Questions

Describe a cross-team collaboration experience.
Explain your approach to technical leadership.
Discuss handling challenges in complex projects.
Share an example of influencing without authority.

Frequently Asked Questions