Senior AI Engineer, Full-Stack — Agent Factory

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. We're in this together, tackling big challenges with bold ideas and genuine care. 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. 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. 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. Agent Factory is where Workday's next chapter gets built. Within our AI organization, small, senior, cross-functional pods bring together product leaders, machine learning engineers, UX designers, and full-stack builders to create intelligent agents used by millions of people every day. This is production-grade AI embedded deeply into Workday's platform — not research experimentation or maintenance work. We ship to paying enterprise customers today, and we're kicking off a new AI agent initiative that will define how our products reason and act on behalf of users. You'll own the end-to-end design, implementation, and product integration of our intelligent agents — and build the full-stack product surface those agents live in. Our ML Engineers build and optimize the foundational algorithms; your mission is intelligence orchestration and product delivery, connecting the brain to the product. Expect to be hands-on across React frontends, backend microservices, APIs, data models, asynchronous workflows, agent orchestration layers, and delivery infrastructure. Because these agents work with sensitive HR and financial data at global scale, you'll help implement the guardrails that keep them private, predictable, and explainable. This is the most senior engineering role on the team. You'll set the technical direction for our agent architecture, mentor the engineers around you, and be the person who presents the work when the stakes and visibility are highest. Design and implement agentic workflows — orchestration and routing layers, tool calling, retrieval pipelines, memory, and multi-step reasoning — and integrate foundation models into customer-facing HR and Finance workflows. Build and operate end-to-end features across React frontends, backend microservices, APIs, data models, and CI/CD. Build the evaluation loop — offline and online evals, benchmarking agent behavior against product requirements, and production observability of agent traces. Implement Responsible AI in practice: guardrails, permission and data-boundary enforcement, PII handling, auditability, and explainability. Lead high-visibility projects end to end and present them with confidence in design reviews, demos, and executive updates. Mentor engineers, raise the technical bar, and partner closely with Product, UX, Machine Learning, and platform teams. 10+ years of professional software development experience, including significant full-stack ownership from modern frontend through backend services. ~5+ years with backend web frameworks; Python frameworks such as FastAPI, Flask, or Django preferred. ~2+ years integrating large models (LLMs, foundation models) and modern AI APIs into production, user-facing products. ~1+ years designing and scaling AI orchestration architectures — multi-agent or tool-calling frameworks, routing layers, or advanced RAG pipelines. ~AWS, GCP) to deploy responsive, scalable systems. Track record of shipping AI and agentic features that real customers use in production, and owning them after launch — prototypes alone aren't the bar. ~ Practical command of LLM constraints (token and cost management, context-window efficiency, caching, streaming, fallbacks) and of evaluation — rapid prototyping, benchmarking outputs, and automated metrics for retrieval quality and agentic behavior. ~ Strong u