Sr Machine Learning Engineer - Sana

Workday

Flexible work: hybrid (at least 50% of time spent in-office or field)
Agent architecture
Context engineering
Tool engineering
Workday is seeking a Sr. Machine Learning Engineer for its AI lab, Sana, to develop agent infrastructure that enhances work efficiency through AI. The role offers a greenfield opportunity to innovate in AI agent capabilities while working in a supportive and collaborative culture

Job Summary

  • You'll build the core agent infrastructure that powers Sana's mission to bring superintelligence to work.
  • This is a greenfield opportunity to define how AI agents plan, reason, and execute across enterprise environments—building systems that reliably handle real-world complexity at scale.
  • We’re a talent-dense, product-obsessed team of engineers and designers from companies like Google, Spotify, Apple, and Databricks, united by deep technical excellence and rapid iteration.

Matching Summary

Match Score: 85

Workday is seeking a Sr. Machine Learning Engineer for its AI lab, Sana, to develop agent infrastructure that enhances work efficiency through AI. The role offers a greenfield opportunity to innovate in AI agent capabilities while working in a supportive and collaborative culture.

Skills & Requirements

Must-have

  • agent architecture
  • context engineering
  • tool engineering
  • prompt engineering
  • production infrastructure
  • TypeScript
  • Kotlin
  • Node.js
  • GCP
  • Kubernetes
  • Terraform

Nice-to-have

  • sun-drenched optimism
  • courageous collaborators
  • deep technical excellence
  • rapid iteration

Key Requirements

  • Enterprise-ready agent architectures
  • Scalable agent capabilities
  • Measurable quality improvements

Work Rights

Not specified

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