Senior Software Engineer - AI Tools at 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

Welcome to the AI Tools team at Workday! We identify, deploy, and scale AI-powered tools that eliminate friction from the developer experience - and extend those capabilities to the broader organization as they mature. We build the AI platform layer that powers code generation, AI-assisted code review, agentic workflows, and enterprise-wide developer tooling. We own the MCP registry and gateway that connects Workday's developers to AI capabilities, and we build the technical guardrails that operationalize how AI is used responsibly across the company. If you want to do high-impact AI infrastructure work in enterprise software, we'd love to hear from you.

About the Role

About You

Basic Qualifications

-5+ years of software engineering experience

- 3+ years building and operating backend services or platform infrastructure in production

- Strong proficiency in Python and/or TypeScript

- Hands-on experience building or integrating with LLM APIs (OpenAI, Anthropic, etc.) and familiarity with prompt engineering, evaluation pipelines, and model selection tradeoffs

- Robust understanding of AI security principles and responsible AI practices - including prompt injection, model misuse, data leakage risks, output validation, and operationalizing policy guardrails in production AI systems

- Genuine excitement about being on the leading edge of AI - you follow new model releases, tooling shifts, and emerging frameworks closely, and you bring that energy into what the team builds

Other Qualifications

- Hands-on experience designing and building AI agents, including fluency with agentic frameworks and patterns such as ReAct - and practical experience shipping agents that are reliable in production

- Experience building MCP servers, Claude skills, or similar tool-use integrations that extend AI capabilities to real workflows

- Comfort designing REST APIs and service-oriented architectures

- Experience with container orchestration (Kubernetes, Docker) and deploying services to cloud environments; experience with workflow orchestration tools and infrastructure-as-code is a plus

- Understanding of enterprise security patterns: authentication, authorization, SSO, and secrets management

- Exposure to observability tooling - logging, metrics, tracing - and a habit of building systems that are easy to monitor

- Comfort partnering directly with the engineers who use your tools - you see user feedback, support channels, and adoption work as part of the job, not a distraction from it

- Strong written and verbal communication skills; able to drive alignment across engineering, security, and product 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.CA.PleasantonPrimary Location Base Pay Range: $176,000 USD - $264,000 USDAdditional US Location(s) Base Pay Range: $148,200 USD - $264,000 USD

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.

At Workday, we are committed to providing an accessible and inclusive hiring experience where all candidates can fully demonstrate their skills. If you require assistance or an accommodation at any point, please email accommodations@workday.com.

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