AI Engineer

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.

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

• 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

• Exposure to agentic design patterns where an LLM uses tools to interact with its environment
• Experience developing and deploying applications on a major cloud platform (AWS, GCP, or Azure)
• Familiarity with event-driven systems and asynchronous task handling
• Experience working within fast-paced, agile environments and cross-functional teams
• Strong communication skills, with the ability to collaborate with both technical and non-technical partners
• Comfortable working with ambiguity and translating complex problems into clear, thoughtful solutions
• Committed to fostering an inclusive, team-oriented environment and contributing to a culture of continuous improvement

You bring a solid engineering foundation and a genuine curiosity about applied AI, and you're excited to grow your expertise while helping shape a brand-new engineering discipline on a team defining the future of enterprise deployment.

Listed below is the base salary range applicable to this position. Workday pay ranges (and the precise pay offered to the successful candidate) are based on a number of objective criteria such as relevant experience and skills, and educational qualifications, level of responsibility, demands of the role, work location and business need. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants awarded by Workday Inc. For more information regarding Workday’s comprehensive benefits, please click here.

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