Sobre este puesto de Principal Full Stack Engineer - Agent Platform en Workday
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, and we hope to be a match for you too.
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 on the Agent Passport & Assurance team, you’ll build the user-facing and platform experiences that make AI agents trustworthy, observable, and governable. Agentic AI is moving into HR and Finance workflows, and enterprises need to know what their agents are doing, what they’re allowed to do, and whether they can be trusted. That’s the problem we’re solving.
Agent governance and security is a new and fast-evolving field. There is no established playbook, so you’ll help define it. You’ll work in a small, cross-functional pod to design and ship full stack solutions, from intuitive front-end experiences to resilient backend services that cover runtime guardrails, policy enforcement, agent inspection, evaluation, and red teaming. 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 problems with no existing answer, 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 secure, govern, and increase trust in AI agents
- Design and build agent inspection, evidence, and policy management experiences, and the services behind them
- Integrate agent frameworks (such as LangGraph), runtime guardrails, MCP gateways, and third-party governance and security tools into our platform
- Build and operationalize evaluation and red-teaming pipelines to measure agent safety, reliability, and policy compliance
- Own services 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
- Help shape technical direction and best practices in an emerging area of AI governance
About You
Basic Qualifications:
- 12+ years of software engineering experience, or equivalent experience and educational background
- 5+ years writing performant backend services (Java/Spring Boot, Go, Python, or another modern OOP language)
- 5+ years of React and TypeScript experience in front-end or full stack development
- Experience designing full stack applications end to end
- Experience with identity federation and standards such as OAuth2, OIDC, or DIDs
- Hands-on experience building with agentic frameworks, preferably LangGraph (or similar, such as LangChain)
- Experience building or working with LLM/agent evaluation (evals) to measure quality, safety, or reliability
- Bachelor’s degree in a computer-related field or equivalent work experience
Other Qualifications:
- Experience with AI/agent security and governance tooling, such as runtime guardrails (e.g., Cisco), AI red-teaming platforms, policy management and compliance platforms, and MCP gateways
- Understanding of agentic threat models: prompt injection, tool misuse, excessive agency, data exfiltration, and agent identity and authorization
- Familiarity with the Model Context Protocol (MCP) and agent-to-agent interaction patterns
- Familiarity with AI governance and risk frameworks (e.g., NIST AI RMF, OWASP Top 10 for LLM/Agentic apps, ISO 42001, EU AI Act)
- Familiarity with cryptographic libraries for digital signatures and attestation verification
- Familiarity with agentic coding tools such as Claude Code or Cursor
- Experience building and operating products in cloud environments (AWS preferred; GCP or Azure)
- Knowledge of software development best practices (DevOps, CI/CD, automated testing, observability)
- Hands-on experience with Docker and Kubernetes
- Proven success in fast-paced, agile, cross-functional environments
- Strong communication skills, with the ability to collaborate with both technical and non-technical partners, including security, legal, and compliance stakeholders
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 click here.
Primary Location: USA.GA.Atlanta
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.The application deadline for this role is the same as the posting end date stated as below:
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.
Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records.
Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.
Workday is committed to providing reasonable accommodations for qualified individuals during our application process, in order to perform one or more essential functions of their job, as well as regarding the use of AI tools for employment decision-making to any degree. Please see below for more details including how to request an accommodation as a qualified veteran, due to a disability or for religious reasons, or as otherwise provided under applicable law.
Workday prohibits taking adverse action against any candidate or employee for reporting a possible violation of this policy, requesting one or more work accommodations, exercising a privacy right, or cooperating in an investigation in accordance with applicable law. Any employee who retaliates against a candidate or employee for doing so may be subject to disciplinary action, up to and including termination of employment, to the fullest extent allowable under applicable law.
If you require a reasonable accommodation, you may email accommodations@workday.com, as far in advance as possible.
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