Senior AI Deployment Engineer: Scale AI for Enterprise

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

Job summary

Workday’s Deployment Technology team is transforming how Workday is deployed and managed. As an AI Software Engineer 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.

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.

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

LangGraph

LangChain

LangSmith

Java

Scala

Rust

C++

LLMs

Tools

AWS

GCP

Azure

Job description

Workday’s Deployment Technology team is transforming how Workday is deployed and managed. As an AI Software Engineer 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.