Workday
Software Development Engineer - AI Tools
USA, CA, Pleasanton
Sponsorship not specifiedDetected 19 days ago
TypeScriptPythonReactBackend DevelopmentCode ReviewAWSGCPAzureCloud PlatformsDockerKubernetesCI/CDDevOpsRESTOAuthLLMsAI OrchestrationHRISCommunicationMentoring
About the role
- You'll work across our MCP server ecosystem, LLM gateway, and developer-facing tooling - writing real production code that Workday engineers use every day.
- This is a high-impact, high-ownership role on a small team that moves quickly, so you'll have room to grow fast.
- You'll also work directly with the engineers using these tools - answering questions in Slack, supporting onboarding, and feeding their feedback back into the platform.
Responsibilities
- Build and maintain MCP servers, AI integrations, and developer tools that improve the daily workflow for Workday's engineering org
- Participate in code review and help maintain a high standard for the team's codebase
- Stay current on the AI tooling landscape and contribute ideas for what the team should build or adopt next
- Work with Security and compliance partners to implement policy requirements in our 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.
- Our approach enables our teams to deepen connections, maintain a strong community, and do their best work.
Requirements
- 3+ years of software engineering experience
- Familiarity with LLM APIs and basic prompt engineering concepts
- comfort reading and contributing to the MCP ecosystem
- Familiarity with DevOps practices and CI/CD systems
- Comfort working in a cloud environment (AWS, GCP, or Azure)
- Experience adding observability to services - logging, metrics, alerting
- 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).
Nice to have
- Understanding of AI agent architectures, including the ReAct pattern and how agents reason, plan, and use tools iteratively
- Working knowledge of Docker and container-based deployments
- experience with Kubernetes is a plus, and exposure to workflow orchestration or infrastructure-as-code tooling is welcome
Skills
- Your work days are brighter here.
Compensation
- $148,000 USD - $222,000 USD
- $123,900 USD - $222,000 USD
- In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.
Benefits
- Our Approach to Flexible Work
- 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.
Company info
- 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.
- If you want to do high-impact AI infrastructure work in enterprise software, we'd love to hear from you.
Equal opportunity
- Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.
- If you require assistance or an accommodation at any point, please email accommodations@workday.com.
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This listing is sourced directly from Workday's careers page and normalized into a canonical job model.