Applied AI Engineer
Core
Bridge human domain expertise and production AI execution by authoring, architecting prompts, and integrating AI skills for Workday's agent platform.
Role type
Applied AI Engineer (Agentic Engineering)
Builds
Production-grade AI skills, agentic capabilities, and developer authoring environments for Workday's agent platform.
Domain
Enterprise HR/Finance + Generative AI / Agentic Systems
Deliverable
production ML models
Required skills
Python, TypeScript, REST APIs, Prompt Engineering, Model Context Protocol (MCP), LLM Evaluation Frameworks, API Integration, Code Refactoring, Unit/Integration Testing
Preferred skills
AI-assisted development tools (Cursor, Claude Code), LLM-as-a-Judge scoring, Trajectory trace analysis, CI/CD quality gates
Technologies
Cursor, Claude Code, MCP, REST APIs, JSON/YAML, Ragas, DeepEval, Braintrust, LangSmith
Responsibilities
Translate complex business logic into structured AI skill definitions; Operate AI-assisted editors to generate and refine prompt logic; Connect skills to backend systems via REST APIs and MCP servers; Abstract business procedures into modular logic; Design automated test suites for edge cases; Establish evaluation-driven development standards; Analyze production telemetry for drift and failures.
Seniority
Mid-Senior, hands-on IC
