AI Engineer

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 Deployment Technology team is transforming how Workday is deployed and managed. Our mission is to reduce deployment time, cost and complexity while helping customers realize value faster. We build products that help Workday implementation teams and partners get customers live faster by making it easier to discover proven setup approaches, reuse configuration, automate repetitive work and use AI-powered tools to guide and complete complex implementation tasks. We also help customers become more self-sufficient after deployment, making it easier to manage and maintain Workday, adopt new products and features, and stay on top of ongoing change through intuitive, AI-enabled experiences. Working closely with customers, partners and product teams across Workday, we're shaping the next generation of deployment technology across the full customer lifecycle. About the Role As an AI Engineer in Deployment Technology — a newly created profile on the team, based in Dublin — you will help design and build the AI-powered systems and tooling that guide and automate complex Workday implementation tasks. You'll work closely with senior engineers, Product Management, and platform teams to bring AI capabilities from prototype to production, helping implementation teams and partners deploy Workday faster and helping customers stay self-sufficient long after go-live. What You'll Do • Build and deploy AI-powered features and tools that automate repetitive implementation work and guide complex configuration tasks • Help integrate AI/ML models (including LLM-based capabilities) into Deployment Technology products, from prototype through production • Contribute to the infrastructure, pipelines, and monitoring needed to run AI systems reliably at scale • Collaborate with Product Management, implementation teams, partners, and enablement to understand real deployment challenges and help translate them into AI-driven solutions • Support performance, reliability, and cost-efficiency improvements for deployed AI capabilities • Grow your expertise in AI engineering practices alongside a team establishing this discipline from the ground up About You Basic Qualifications: • 3-5 years of experience in software engineering • Strong proficiency in Python • Experience with LangGraph, LangChain, and LangSmith (or willingness to quickly ramp up on these frameworks) • Proficiency in at least one other statically-typed language such as Java, Scala, Rust, or C++ • Hands-on experience building applications with Large Language Models Other Qualifications: • Exposure to agentic design patte