Senior AI Software Engineer – Deployment Technology

Workday, Inc.; Dublin; Hybrid; EUR 91,000 - 137,000; Full time

Job summary

Workday, Inc. in Dublin seeks an AI Software Engineer in Deployment Technology to design and build AI-powered systems that guide complex Workday implementation tasks.

You will work closely with Product Management, data science, and platform engineering to move AI capabilities from concept to production, helping implementation teams deploy Workday faster and helping customers stay self-sufficient after go-live.

Qualifications

• 8+ years of experience in software engineering.
• Expert level proficiency in Python.
• Experience in LangGraph, LangChain, and LangSmith.
• 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.
• Experience implementing 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).
• Experience architecting complex, event-driven systems capable of handling asynchronous tasks.
• Proven success 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.
• Committed to fostering an inclusive, team-oriented environment and contributing to a culture of continuous improvement.

Responsibilities

• Design, build and deploy AI-powered features and tools that automate repetitive implementation work and guide complex configuration tasks.
• Integrate AI/ML models (including LLM-based capabilities) into Deployment Technology products, from prototype through production.
• Build and maintain 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 translate them into AI-driven solutions.
• Continuously improve performance, reliability, and cost-efficiency of deployed AI capabilities.
• Help define engineering standards and best practices for AI development, since this is a new and growing discipline on the team.

Skills

Python

LangChain

LangGraph

LangSmith

Java

Scala

Rust

C++

LLMs

AWS

GCP

Azure

AI deployment

Tools

CI/CD pipelines

Job description

About the Team

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.

About the Role

As an AI Software Engineer in Deployment Technology — a newly created profile on the team, based in Dublin — you will design and build the AI-powered systems and tooling that guide and automate complex Workday implementation tasks. You'll work closely with Product Management, data science, and platform engineering to take AI capabilities from concept to production, helping implementation teams and partners deploy Workday faster and helping customers stay self-sufficient long after go‑live.

What You’ll Do

• Design, build and deploy AI-powered features and tools that automate repetitive implementation work and guide complex configuration tasks
• Integrate AI/ML models (including LLM-based capabilities) into Deployment Technology products, from prototype through production
• Build and maintain 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 translate them into AI-driven solutions
• Continuously improve performance, reliability, and cost-efficiency of deployed AI capabilities
• Help define engineering standards and best practices for AI development, since this is a new and growing discipline on the team

About You

Basic Qualifications:

• 8+ years of experience in software engineering
• Expert level proficiency in Python
• Experience in LangGraph, LangChain, and LangSmith
• Proficiency in at least one other statically-typed language such as Java, Scala, Rust, or C++
• Demonstrated, hands-on experience building applications with Large Language Models

Other Qualifications:

• Experience implementing 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)
• Experience architecting complex, event-driven systems capable of handling asynchronous tasks
• Proven success 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

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.

Primary LocationBase Pay Range: €91,300EUR - €136,900EURIreland

Additional LocationBase Pay Range: €91,300EUR - €136,900EURIreland

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 [e-mail], 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!

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 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.

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

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.

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.