Senior AI Engineer - Deployment Technology & AI Automation

Workday; Dublin; On-site; EUR 120,000 - 180,000; Full time

Job summary

Workday is seeking an AI Software Engineer in Deployment Technology, based in Dublin. You will design and build AI-powered systems and tooling to guide and automate complex Workday implementation tasks.

You’ll collaborate with product management, data science, and platform engineering to take AI capabilities from concept to production, helping teams deploy Workday faster and clients stay self-sufficient. The role requires 8+ years of software engineering, expert Python, and hands-on experience

Qualifications

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

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 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.

Skills

Python

LangGraph

LangChain

LangSmith

Java/Scala/Rust/C++

LLM applications

Job description

Workday is seeking an AI Software Engineer in Deployment Technology, based in Dublin. You will design and build AI-powered systems and tooling to guide and automate complex Workday implementation tasks.

You’ll collaborate with product management, data science, and platform engineering to take AI capabilities from concept to production, helping teams deploy Workday faster and clients stay self-sufficient. The role requires 8+ years of software engineering, expert Python, and hands-on experience