Principal Software Engineer, AI

Workday Workday · Enterprise · Dublin, Ireland

Workday is seeking a Principal Software Engineer, AI to join the Deployment Adoption Platform team. This role will focus on building an AI platform to reduce the cost of implementing Workday globally, utilizing Large Language Models and agentic design patterns. The ideal candidate will have extensive experience in software engineering, Python, LangGraph, LangChain, and feature engineering, with a strong understanding of Data Science principles and experience with LLM-based applications and agentic systems.

What you'd actually do

  1. Your technical contributions and team-first mindset will play a key role in delivering high-impact products that utilize AI to reduce the cost of implementing Workday globally.
  2. Join the Deployment Adoption Platform team, where we are building an AI platform to reduce the cost of implementing Workday globally.
  3. Demonstrated, hands-on experience building applications with Large Language Models
  4. Experience implementing agentic design patterns where an LLM uses tools to interact with its environment
  5. Mastery of Feature Engineering methods to [insert specific actions like developing innovative feature representations or addressing complex data challenges].

Skills

Required

  • 12+ 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
  • Deep and strategic knowledge of Data Science principle
  • Proven ability to lead Exploratory Data Analysis (EDA) initiatives
  • Mastery of Feature Engineering methods

Nice to have

  • 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 JD emphasized

  • Expert level proficiency in Python
  • Experience in LangGraph, LangChain, and LangSmith
  • Demonstrated, hands-on experience building applications with Large Language Models
  • Deep and strategic knowledge of Data Science principle
  • Proven ability to lead Exploratory Data Analysis (EDA) initiatives
  • Mastery of Feature Engineering methods
  • Experience implementing agentic design patterns where an LLM uses tools to interact with its environment

Other signals

  • building an AI platform
  • reduce the cost of implementing Workday globally
  • applications with Large Language Models
  • agentic design patterns where an LLM uses tools to interact with its environment