Sr Machine Learning Engineer - Sana

Workday

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Agent architecture
Context engineering
Tool engineering
** Workday is seeking a Senior Machine Learning Engineer for their AI lab, Sana, where the focus is on creating agentic AI to enhance workplace efficiency. The role involves building core agent infrastructure and requires expertise in agent architecture, tool engineering, and production systems within a flexible, remote-first environment. **

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 are committed to building AI that augments people - not replaces them.

Matching Summary

Match Score: 75

** Workday is seeking a Senior Machine Learning Engineer for their AI lab, Sana, where the focus is on creating agentic AI to enhance workplace efficiency. The role involves building core agent infrastructure and requires expertise in agent architecture, tool engineering, and production systems within a flexible, remote-first environment. **

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

Tailored Resume

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