Senior AI Evaluation Engineer (CICD & Platform)

Location: Ireland, Dublin

Your work days are brighter here.

We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you’ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm.

We’re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you’ll do meaningful work with Workmates who’ve got your back. In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul.

So, if you want to inspire a brighter work day for everyone, including yourself, you’ve found a match in Workday, and we hope to be a match for you too.

About the Team

The Forward Intelligence team owns the skills that power Workday's deployment agent—turning the deep configuration expertise and hard-earned wisdom of our Domain Experts and Deployment Consultants into production-grade, fully tested skills that the agent can execute lawfully in live customer tenants.

What we own: The end-to-end skill engine and governance ecosystem, spanning skill knowledge extraction, promotion pipelines, evaluation frameworks, self-correcting drift detection, and developer authoring environments.

How we build: Automated testing harnesses and release-gating pipelines running at enterprise scale, ensuring deterministic execution, strict schema compliance, and zero regressions for skills executing in live customer tenants.

Agentic engineering: We build evaluation tooling, synthetic datasets, and automated red-teaming pipelines that help engineers test how AI agents and Model Context Protocol (MCP) skills perform across complex tenant environments.

How we work: Close end-to-end collaboration across domain experts, AI platform engineers, and site reliability teams to transform domain knowledge into trustworthy, production-ready AI skills.