Senior Software Engineer AI Tools

Workday


Job Location:

Pleasanton, CA - USA

Monthly Salary: Not Disclosed
Posted on: 2 days ago
Vacancies: 1 Vacancy

Job Summary

Your work days are brighter here.

Were 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 were shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join youll 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. Were 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 youre building smarter solutions supporting customers or creating a space where everyone belongs youll do meaningful work with Workmates whove got your return well 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 youve 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 Workdays 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 wed love to hear from you.

About the Role

The Workday AI Tools team is looking for a senior engineer who thrives at the intersection of AI platform engineering and developer experience. Youll design and build systems that thousands of Workday engineers rely on every day - from LLM gateways and MCP server infrastructure to AI-native agents and compliance tooling. Youll help define how we integrate emerging AI capabilities into our platform and youll be a technical anchor on a team that moves fast and takes quality seriously.

Youll also work directly with the engineers using these tools - through office hours Slack support and our Champions program - and your work will be shaped by their feedback.

In this role you will:

- Design and build the AI platform layer: LLM gateways MCP registries abstraction APIs and shared infrastructure that teams across Workday build on

- Architect and implement AI agents and automation that improve the developer workflow - code review documentation testing and beyond

- Drive the evaluation and integration of AI model providers keeping a strong eye on cost safety and performance tradeoffs

- Serve as a scout for emerging AI capabilities - track new models tools and frameworks and make recommendations to engineering leadership on when to adopt evaluate or pass

- Lead technical design on complex cross-cutting projects in partnership with Security DevEx and infrastructure teams

- Build observability and governance tooling that gives the organization visibility into how AI tools are being used

- Operationalize AI policy and compliance requirements into our platform

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 candidates 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 Workdays comprehensive benefits please click here.

Primary Location:

Primary Location Base Pay Range: $176000 USD - $264000 USD

Additional US Location(s) Base Pay Range: $148200 USD - $264000 USD



Our Approach to Flexible Work

With Flex Work were 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 youll 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
.

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Required Experience:

Senior IC

Your work days are brighter here.Were 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 were shaping the future of work so teams can reach their potential and focus on w...

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