Principal Engineer, AI Production Readiness
Core
Designing architecture and building reference implementations to move internally built AI agents from prototype to enterprise-grade production on Workday's Databricks and AWS estate.
Role type
Principal AI Engineer (Production Readiness & Architecture)
Builds
Reference implementations, deployment templates, evaluation harnesses, and production-ready AI agent services.
Domain
Enterprise AI, Cloud Infrastructure (AWS/Databricks), LLM Applications
Deliverable
production ML models | product features
Required skills
Data & AI application development, Python, Infrastructure as Code (IaC), CI/CD, Modern data stack, LLM application development, Cloud AI-native stack, Technical architecture design, Hands-on coding
Preferred skills
Cross-functional technical leadership, Business engagement, Design review facilitation
Technologies
AWS Bedrock, AgentCore, Databricks Agent Bricks, Unity Catalog, Databricks, AWS, Snowflake, GCP
Responsibilities
Define and enforce production readiness standards and automated enforcement gates; Own architecture patterns and build reference implementations for AI applications; Work in code to build prototypes, tool integrations, and re-architect AI-generated applications; Diagnose complex implementation challenges in non-deterministic systems; Run design and readiness reviews and own handoff to operations; Engage with business teams to translate needs into platform design.
Seniority
Principal, hands-on IC with strategic influence
