Sr Machine Learning Engineer - Sana

Workday

**
Agent architecture
Context engineering
Tool engineering
** Workday is seeking a Senior Machine Learning Engineer to join their AI lab, Sana, to build core infrastructure for AI agents aimed at enhancing productivity in enterprise settings. The role involves designing robust agent architectures and collaborating with various teams to ensure the execution of intelligent, scalable systems. **

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: 75

** Workday is seeking a Senior Machine Learning Engineer to join their AI lab, Sana, to build core infrastructure for AI agents aimed at enhancing productivity in enterprise settings. The role involves designing robust agent architectures and collaborating with various teams to ensure the execution of intelligent, scalable systems. **

Skills & Requirements

Must-have

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

Nice-to-have

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

Key Requirements

  • 50% of time in office or field

Work Rights

Not specified

Tailored Resume

Cover Letter