Adaptive Insights

Adaptive Insights

Principal Software Development Engineer - Agent Factory

USA, CO, Boulder · Principal

Sponsorship not specifiedDetected 7 days ago
TypeScriptJavaDistributed SystemsBackend DevelopmentFull-Stack DevelopmentElasticsearchAWSCloud PlatformsDockerKubernetesCI/CDDevOpsMachine LearningAgentic AIHRISTest AutomationResearchCommunicationMentoring

About the role

  • Agent Factory is where Workday's next chapter gets built.
  • This is production-grade AI-deeply embedded into Workday's platform-not research experiments or maintenance work.
  • You'll work at the intersection of AI, platform architecture, and human workflows, with the autonomy to shape how agents reason, act, and scale responsibly.

Responsibilities

  • Build and deliver full stack features that power AI agents embedded in HR and Financial workflows
  • Own services and experiences from development through production-you build it, you run it
  • As a Principal Full Stack Software Engineer in Agent Factory, you'll help build the user-facing and platform experiences that bring Workday's AI agents to life.
  • Working within a small, cross-functional pod, you'll design and ship full stack solutions-from intuitive front-end experiences to resilient backend services that integrate AI-driven capabilities deeply into HR and Finance workflows.
  • Our approach enables our teams to deepen connections, maintain a strong community, and do their best work.

Requirements

  • 12+ years experience in software development engineering, leading technical initiatives, designing complex systems, and ensuring the scalability and maintainability of software products
  • Familiarity with the tradeoffs and architecture of modern distributed systems
  • Knowledge of software development best practices (DevOps, CI/CD, automated testing, observability)
  • Hands-on experience with containerization technologies (Docker, Kubernetes)
  • Familiarity with Elasticsearch
  • Proven success working within fast-paced, agile environments and cross-functional teams
  • We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role).
  • Experience building and operating SaaS products in cloud environments (AWS preferred)
  • 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

Nice to have

  • Bachelor's degree in Computer Science, Engineering, or related discipline
  • Master's degree preferred or equivalent practical experience.
  • Exposure to additional programming languages like Java (backend) and TypeScript (frontend/fullstack) is a plus

Skills

  • Your work days are brighter here.

Compensation

  • $182,400 USD - $273,600 USD
  • $173,300 USD - $309,600 USD
  • In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.

Benefits

  • Collaborate in an iterative, team-first environment that values strong engineering practices and continuous learning
  • You'll collaborate closely with machine learning engineers, product managers, and platform teams, owning features end to end and seeing your work run in production.
  • Our Approach to Flexible Work
  • This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together.
  • Those in our remote "home office" roles also have the opportunity to come together in our offices for important moments that matter.

Company info

  • We're forming small, senior, cross-functional AI teams that bring together product leaders, machine learning engineers, and full-stack builders to create intelligent agents used by millions of people every day.
  • Teams own problems end to end, collaborate tightly across disciplines, and use the right tools to solve real customer challenges at global scale.
  • High trust, high expectations, and real impact.
  • Engineering, but brighter
  • This role is about turning powerful technology into products people actually use: scalable, reliable systems that simplify complex business processes for customers around the world.
  • scalable, reliable systems that simplify complex business processes for customers around the world.

Equal opportunity

  • Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.
  • If you require assistance or an accommodation at any point, please email accommodations@workday.com.
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