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Workday

AI Engineer

Workday is hiring an AI Engineer. It pays €73k-€110k a year and Level rates it ; you can apply on Workday.

Level's read on this job

  • Level rates this AI engineer role Works on AI ●●●○: the daily work is on AI products, without building the model.
  • Tools and skills the posting cites include LangChain and LangGraph.
  • Level classifies it as a mid-level role.
  • Level lists 378 other open roles at Workday.
  • The role was posted in the last few days.

AI in this role

langchainlanggraph

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 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.


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.


Workday Pay Transparency Statement (For EU Locations Only)


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.

 

Primary Location Base Pay Range: €73,100 EUR - €109,600 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. 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.


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 accommodations@workday.com, as far in advance as possible.



Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!


At Workday, we value our candidates’ privacy and data security.  Workday will never ask candidates to apply to jobs through websites that are not Workday Careers. 

  

Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not.

  

In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.

How we rate this

AI Engineer at Workday rates 63 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

LangChainLangGraph

Also common in AI engineer jobs at this level

Pay

Typical AI engineer job
$186k

Use the typical AI engineer figure as a reference when pay comes up. See AI engineer jobs

Questions you could be asked

  1. What's a project where you used LangChain hands-on?
  2. Walk me through how you've used LangGraph in your day-to-day work.
  3. Describe a typical day in a role like this one: which parts run through AI directly?
  4. If you removed AI from this role, what would be left, and how do you decide what still needs a human?

Adapt your resume

  • List these exact terms on your resume: LangChain and LangGraph. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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