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Principal Agent Development Engineer - Agent Platform

Job in Boulder, Boulder County, Colorado, 80301, USA
Listing for: Workday
Full Time position
Listed on 2026-06-06
Job specializations:
  • Software Development
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below

Your work days are brighter here. We’re obsessed with making hard work pay off for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you’ll feel it.

Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We’re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun‑drenched optimism and drive. Whether you’re building smarter solutions, supporting customers, or creating a space where everyone belongs, you’ll do meaningful work with Workmates who’ve got your back.

In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you’ve found a match in Workday.

About The Team

The Agent Platform team delivers a new AI‑focused experience for Workday customers, and most importantly their employees. We are at the forefront of Workday’s AI & Agentic initiatives with the objective to deliver and integrate Agentic capabilities across the entire Workday platform, including widespread adoption of AI‑powered Assist features, rapid creation and deployment of Workday‑native AI Agents, and the delivery of Workday’s Agent System of Record.

Focus

Area

Data Engineering & Trust Systems

Why Join the Agent Platform Team?
  • Data & Frontier:
    Tackle unique challenges in Agentic AI utilizing Workday’s exclusive, high‑integrity enterprise datasets.
  • Impact at Scale:
    Your contributions will act as the crucial optimizer and gatekeeper of quality for products that reach 31 million global users.
  • People‑First Culture:
    We cultivate a culture that balances high‑intensity innovation with a strong commitment to sustainable work‑life integration.
About

The Role

In this role as an Agent Development Engineer on the Agent Trust and Inspection team, you will significantly contribute to building trust in our AI agents by implementing essential guardrails and security features. This is an exciting chance to leverage and enhance various agent frameworks, adding crucial checks and balances to create practical, scalable, and reliable next‑generation agentic products that streamline complex HR and Finance workflows for our worldwide customer base.

If you are passionate about building real agentic products, tackling meaningful challenges, and working with a team dedicated to quality and craft, you will thrive in this role.

Responsibilities
  • Engineering & Automation:
    Enhance and maintain features within our in‑house/third‑party agentic framework; build agents to automate workflows for the Agent Trust and Inspection team.
  • Security & Adversarial Testing:
    Develop and deploy adversarial agents and specialized sandbox environments to rigorously test and secure AI agents across the Workday ecosystem. Embed real‑time security guardrails into our agentic systems with cross‑functional teams.
  • Collaborate in an iterative, team‑first environment that values strong engineering practices and continuous learning.
  • Share knowledge, mentor teammates, and help raise the technical bar across the pod.
  • Evaluate the latest agentic technologies to determine their potential for enhancing our platform.
About You
  • Extensive experience (12+ years) in software engineering or equivalent educational background.
  • Deep expertise in Python: 5+ years writing modular, performant Python code and libraries.
  • Production ML/autonomous systems: 5+ years designing and implementing Machine Learning/autonomous systems in production.
  • Familiarity with agentic frameworks: exposure to Langchain, Langraph (preferred), CrewAI, and ADK.
  • End‑to‑end Agentic architecture: knowledge of the complete production architecture for modern Agentic systems, including MCP servers and AI gateways.
  • Agentic design patterns: experience in the implementation of various Agentic…
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