Senior AI Software Engineer, Workday
Deployment Technology
€91.3-136.9k
Enterprise AI platform for managing HR, finance & IT
Be an early applicant
Enterprise AI platform for managing HR, finance & IT
1001+ employees
Be an early applicant
€91.3-136.9k
1001+ employees
Company mission
To leverage the power of AI to elevate humans and supercharge work, moving business forever forward.
Role
Who you are
- 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
- Above all, you're a builder who combines deep technical expertise with genuine curiosity about applied AI, and you're excited to help define a brand-new engineering discipline on a team shaping the future of enterprise deployment
Desirable
- 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
What the job involves
- 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
- 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
- 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
Our take
Workday is a cloud-based software vendor that provides management of workforces and finances. The company uses a single database for workforce management and financial management to offer integration and optimize business intelligence across companies. It has added to the packages and tools it offers over the years, providing analytic options that allow companies to combine third-party data with information collected by Workday.
The company has also grown through acquisitions and partnerships to broaden its capabilities. Most recently, in 2025 it purchases Sana, an AI-driven enterprise knowledge and learning platform, to create a "new front door for work". This acquisition allows Workday to integrate Sana's AI-powered search, agents, and learning capabilities with its own data and workflows, allowing employees to access information, automate tasks, and complete their day entirely within Workday.
Through a combination of strategic acquisitions and in-house development, Workday has built a comprehensive suite of HR, financial, and enterprise tools. By focusing on innovation and AI-driven workflows, the company continues to push productivity and decision-making for organizations worldwide. Building on this track record, Workday is very much positioned for even more growth, reinforcing its status as a leader in shaping the future of work.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
16% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Oct 2011
$85m
SERIES F
Apr 2009
$75m
SERIES E
Total funding: $215.3m
Company HQ
Pleasanton, CA
Leadership
Aneel Bhusri
(Co-Founder & CEO)Annel began their career at Morgan Stanley as a Corporate Finance Analyst. They then spent nearly 6 years at PeopleSoft as a Senior VP before co-founding Workday in 2005.
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