Description
We are seeking an Applied AI Engineer to serve as a high-impact bridge between human domain expertise and production AI execution.
In this role, you will own the end-to-end authoring, prompt architecture, and API integration of AI skills that power Workday's core agentic capabilities.
This is a pivotal, high-visibility engineering position with cross-organizational impact. You will work directly with top Subject Matter Experts across business units to translate complex enterprise logic, tribal configuration knowledge, and standard operating procedures into deterministic, schema-compliant AI tools using state-of-the-art AI-assisted development environments.
Key Responsibilities
- Enterprise Skill Authoring & Domain Codification: Partner directly with domain experts and senior consultants across business units to translate complex business logic, prose, and raw scripts into optimal, structured AI skill definitions.
- AI-Assisted Editor Mastery: Operate at the cutting edge of AI-driven software development (using Cursor, Claude Code, and custom tooling) to rapidly generate, refactor, and refine prompt logic, tool descriptions, and Model Context Protocol (MCP) tool calls.
- API & Capability Orchestration: Connect skills to backend systems by wiring up enterprise REST APIs, MCP servers, and complex data structures for seamless agent execution.
- Logic Optimization & Deduplication: Abstract messy business procedures into clean, modular logic,separating prose from executable code while optimizing prompt structures for minimal token consumption and maximum execution reliability.
- Edge-Case Stress Testing: Design and implement automated test suites to stress-test skill edge cases, API parameter bounds, fallback logic, and error-handling routines before deployment.
- Enablement & Code Review: Scale authoring standards across Workday by establishing best practices, training domain experts on self-serve authoring workflows, and reviewing submitted skill pull requests for schema compliance and API integrity.
- Enforce Evaluation-Driven Development (EDD): Partner with Domain Experts to curate benchmark eval datasets, implementing LLM-as-a-Judge scoring, trajectory trace analysis, and CI/CD quality gates to validate skill accuracy and prevent regressions prior to production promotion.
- Production Telemetry & Drift Analysis: Establish feedback loops using production agent trace logs to identify trajectory failures, update eval benchmark suites, and continuously improve skill deterministic behavior.
About You
- Basic Qualifications:
+ 8+ years of professional software engineering experience in Python or TypeScript with a focus on API integrations, backend services, or scripting. + 1+ years of hands-on experience leveraging AI-assisted development tools (e.g., Cursor, GitHub Copilot, Claude Code) to author, refactor, and debug production code. + Strong experience working with REST APIs, JSON/YAML schemas, and structured data transformations. + Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
Workday Pay Transparency Statement (For EU Locations Only)
- Primary Location Base Pay Range: €96,000 EUR - €144,000 EUR Ireland
Our Approach to Flexible Work
- With Flex Work, we’re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work.