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 the widespread adoption and 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
We are seeking to engineer the intelligent data backbone and verified trust systems that power Workday’s AI and Agents. This role will specifically be part of the Agent Trust and Inspection team, with responsibilities including Agent Safety Scanning, Attestation, Observability, and enhancing the Customer Experience for Agent Management. This is a unique opportunity at the intersection of Agent development, operation, security, and identity.

Why Join the Agent Platform Team?
The 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.

Who We're Looking For:
We are looking for creative, results-oriented, and collaborative Full-Stack Engineers to help build and scale the next generation of our Agentic system.

About the Role

As a Full Stack Engineer in the Agent Trust and inspection team, you’ll help build the user-facing and platform experiences that increase trust AI agents .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, security partners 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.

Your responsibilities:

• Build and deliver full stack features that power AI agents security
  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

About You

Basic Qualifications:

• 12+ years of experience in software engineering or experience and equivalent educational background

• 5+ years experience writing performant backend services(Java Spring boot/GO/Python/any modern OOP language )

• 5+ years of experience with React and Typescript for Front End / Full stack development

• Experience designing full stack application end to end

• Experience with identity federation and standards like OAuth2, OIDC, or DIDs (Decentralized Identifiers)

• Bachelor's degree in a computer related field or equivalent work experience

Other Qualification

• Familiarity with agentic coding tools such as Claude Code or Cursor

• Experience building and operating products in cloud environments (AWS preferred/GCP/Azure)

• Familiarity with cryptographic libraries for implementing digital signatures and attestation verification

• Knowledge of software development best practices (DevOps, CI/CD, automated testing, observability)

• Hands-on experience with containerization technologies (Docker, Kubernetes)

• 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

Workday Pay Transparency Statement

The annualized base salary ranges for the primary location and any additional locations are listed below.  Workday pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidate’s compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. For more information regarding Workday’s comprehensive benefits, please .

Primary Location: USA.GA.AtlantaPrimary Location Base Pay Range: $182,400 USD - $273,600 USD

 

Additional US Location(s) Base Pay Range: $173,300 USD - $309,600 USD

Additional Considerations:

If performed in Colorado, the pay range for this job is $182,400 - $273,600 USD based on min and max pay range for that role if performed in CO.

05/31/2026

Our Approach to Flexible Work
 

With Flex Work, we’re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. 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). 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.