Hybrid (minimum 50% in-office/field interactions each quarter)
Agent architecture
Context engineering
Tool engineering
Workday is seeking a Sr. Machine Learning Engineer for its Sana AI lab, focusing on building intelligent systems that enhance workplace productivity. The role involves architecting agent infrastructure for AI applications, requiring robust technical skills in areas like planning, execution, and context engineering
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.
Our approach enables our teams to deepen connections, maintain a strong community, and do their best work.
Matching Summary
Match Score: 85
Workday is seeking a Sr. Machine Learning Engineer for its Sana AI lab, focusing on building intelligent systems that enhance workplace productivity. The role involves architecting agent infrastructure for AI applications, requiring robust technical skills in areas like planning, execution, and context engineering.
Skills & Requirements
Must-have
agent architecture
context engineering
tool engineering
prompt engineering
production infrastructure
TypeScript
Kotlin
Node.js
React
Postgres
Redis
GCP
Kubernetes
Terraform
Nice-to-have
courageous collaborators
sun-drenched optimism
deep technical excellence
rapid iteration
Key Requirements
Experience with agent planning and orchestration
Experience with code generation agents
Experience with sandboxed code execution
Experience with memory and state management
Experience with latency, quality, and cost controls
Experience with fallback and error handling strategies