About the TeamDo you want to build impactful, AI features and solutions that will be used by millions of end-users? We are in the AI Platform organization at Workday and we solve meaningful problems that lie at the intersection of machine learning and enterprise-scale software! We build advanced AI solutions that power the core Workday software by modeling user behavior and providing intelligent automation. Come join us and make it easier and balanced for millions of Workday users!
About the RoleWe are looking for
Software Development Engineers to help build our
Agent Platform-the infrastructure that enables teams to develop, deploy, and operate AI agents in production.
In this role, you will design and implement backend services, systems, and tooling that support agent-based applications. You'll work on problems spanning distributed systems, orchestration, and developer experience, helping teams reliably build and scale AI-powered workflows.
This is a great opportunity for an engineer who enjoys building production systems, solving complex technical problems, and working at the intersection of backend engineering and AI.
Responsibilities:- Build and maintain backend services that support agent execution, orchestration, and lifecycle management.
- Develop systems for workflow coordination, state management, and tool integration.
- Write high-quality, maintainable code in Python to power platform capabilities and APIs.
- Deploy and operate services on Kubernetes, ensuring reliability and scalability.
- Contribute to systems for observability, logging, tracing, and debugging of distributed workflows.
- Improve system performance across latency, throughput, and fault tolerance.
- Build internal tools and APIs that improve the developer experience for teams using the platform.
- Collaborate with engineers, product managers, and AI teams to deliver production-ready solutions.
- Participate in design discussions and contribute to system architecture and technical decisions.
About YouBasic Qualifications (Software Engineer): - 3+ years of software development experience building backend systems or services.
- Strong proficiency in Python (or similar languages such as Go or Java).
- Experience designing and building distributed systems and scalable services.
- Experience running and operating services in Kubernetes-based environments.
- Familiarity with machine learning or LLM-powered applications and the challenges of running them in production.
- Experience designing systems with a focus on reliability, scalability, observability, and maintainability.
- Strong understanding of APIs, asynchronous processing, and service-oriented architecture.
- Bachelor's degree in Computer Science, Engineering, or related discipline, or equivalent practical experience.
Basic Qualifications (Senior Software Engineer) - 5+ years of software engineering experience building and operating production-grade backend or platform systems.
- Strong proficiency in Python (or similar languages such as Go or Java).
- Experience designing and building distributed systems and scalable services.
- Experience running and operating services in Kubernetes-based environments.
- Familiarity with machine learning or LLM-powered applications and the challenges of running them in production.
- Experience designing systems with a focus on reliability, scalability, observability, and maintainability.
- Strong understanding of APIs, asynchronous processing, and service-oriented architecture.
- Bachelor's degree in Computer Science, Engineering, or related discipline, or equivalent practical experience.
Other Qualifications: - Ability to navigate ambiguity, make sound technical decisions, and drive projects end-to-end.
- Strong collaboration and communication skills.
- Experience working on platforms, infrastructure, or developer tooling.
- Familiarity with workflow orchestration or multi-step processing systems.
- Experience with monitoring, logging, and observability tools.
- Familiarity with cloud platforms and modern deployment practices (CI/CD).
- Experience building or supporting platforms, developer infrastructure, or internal tooling.
- Experience with agent-based systems, workflow orchestration, or complex multi-step pipelines.
- Exposure to LLM-based applications or agent-style architectures.
- Familiarity with LLM application patterns, such as: Tool integration, Retrieval-augmented generation (RAG), Context and memory management and/or Multi-step workflows
- Experience with observability stacks, tracing systems, and debugging distributed workflows.
- Familiarity with model serving, vector databases, or evaluation frameworks.
- Experience mentoring engineers and contributing to technical direction.
Workday Pay Transparency StatementThe 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.CO.Boulder
Primary Location Base Pay Range: $140,000 USD - $210,000 USD
Additional US Location(s) Base Pay Range: $148,200 USD - $264,000 USD
Additional Considerations:
The application deadline for this role is the same as the posting end date stated as below:
06/05/2026
Our Approach to Flexible WorkWith 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.
