AI Engineer, Deployment Tech • Hybrid/Remote

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

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