W
Workday
Software Development Engineer (Agent Factory)
Skills
Google Cloud PlatformDockerMachine LearningAIAWSElasticsearchKubernetesWorkday
14 days ago
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Important information
Contract type:
Permanent
Location:
Canada
Work mode:
Onsite
Published on:
9 October 2026
What they need
- Agent Factory is where Workday’s next chapter gets built
- 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
- This is production-grade AI—deeply embedded into Workday’s platform—not research experiments or maintenance work
- Teams own problems end to end, collaborate tightly across disciplines, and use the right tools to solve real customer challenges at global scale
- 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
- High trust, high expectations, and real impact
- Engineering, but brighter!
- As a 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
- 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
- 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
- If you enjoy building real products, solving meaningful problems, and working with people who care about quality and craft, you’ll feel right at home here
- Build and deliver 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
- 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- Bachelor’s (Master’s or PhD preferred) degree in engineering, computer science, physics, math or equivalent
- 3+ years of experience designing, building, and operating highly scalable, distributed systems in production
- 5+ years of experience in software engineering
- 3+ years of proven experience with cloud computing platforms (e.g. AWS, GCP, etc.)
- Familiarity with the tradeoffs and architecture of modern distributed systems
- Experience building and operating SaaS products in cloud environments (AWS preferred)
- Knowledge of software development best practices (DevOps, CI/CD, automated testing, observability)
- Familiarity with Elasticsearch
- Hands-on experience with containerization technologies (Docker, Kubernetes)
- Strong communication skills, with the ability to collaborate with both technical and non-technical partners
- Experience working within fast-paced, agile environments and multi-functional teams
- Committed to fostering an inclusive, team-oriented environment and contributing to a culture of continuous improvement
- Comfortable working with ambiguity and translating complex problems into clear, thoughtful solutions
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