AI Engineer

Workday, Inc.; Dublin; Hybrid; EUR 73,000 - 110,000; Full time

Job summary

Workday, Inc. in Dublin is seeking an AI Engineer in Deployment Technology to design and build AI-powered systems that guide and automate complex Workday deployment tasks.

You will work with senior engineers, product management, and platform teams to bring AI capabilities from prototype to production, helping customers deploy Workday faster and stay self-sufficient after go-live. You bring a solid engineering foundation and a curiosity about applied AI, ready to grow in a nascent engineering

Qualifications

• 3-5 years of software engineering experience.
• Strong Python proficiency.
• Experience with LangGraph/LangChain/LangSmith or willingness to ramp up.
• Proficiency in at least one statically-typed language (Java/Scala/Rust/C++).
• Hands-on experience building applications with Large Language Models.

Responsibilities

• Build and deploy AI-powered features that automate repetitive implementation work and guide complex configuration tasks.
• Help integrate AI/ML models 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

Skills

Python

Software engineering

LLMs

Java/Scala/Rust/C++

Tools

LangGraph

LangChain

LangSmith

AWS

GCP

Azure

Job description

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

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.

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 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

Why Join Us

You'll help build what AI-powered deployment means at Workday, working alongside senior engineers, a Senior Product Manager, and a cross-functional team shaping the next generation of deployment technology across the full customer lifecycle.

Primary Location

Base Pay Range: €73,100 EUR - €109,600 EUR Ireland

Benefits

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.

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. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote "home office" roles also have the opportunity to come together in our offices for important moments that matter.

Equal-Opportunity & Diversity Statements

Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records.

Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.

Workday is committed to providing reasonable accommodations for qualified individuals during our application process, in order to perform one or more essential functions of their job, as well as regarding the use of AI tools for employment decision-making to any degree.

Please see below for more details including how to request an accommodation as a qualified veteran, due to a disability or for religious reasons, or as otherwise provided under applicable law.

Workday prohibits taking adverse action against any candidate or employee for reporting a possible violation of this policy, requesting one or more work accommodations, exercising a privacy right, or cooperating in an investigation in accordance with applicable law.

Any employee who retaliates against a candidate or employee for doing so may be subject to disciplinary action, up to and including termination of employment, to the fullest extent allowable under applicable law.

If you require a reasonable accommodation, you may email [e-mail], as far in advance as possible.

Workday is proud to be an equal opportunity workplace. Individuals seeking employment at Workday are considered without regards to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws.

Further, pursuant to applicable local ordinances, Workday will consider for employment qualified applicants with arrest and conviction records.

We do not accept resumes from headhunters, placement agencies, or other suppliers that have not signed a formal agreement with us.