Description
We’re Workday, a leading AI platform for managing people, money, and agents. As a Principal/Senior AI Engineer in Agent Factory, you will drive the end-to-end system design, implementation, and product integration for a core domain of Workday’s next generation of intelligent agents.
Agent Factory is where Workday’s next chapter gets built. We’re forming small, senior, cross-functional AI teams that bring together product leaders, AI engineers, and full-stack builders to create intelligent agents used by millions of people every day.
As a Principal/Senior AI Engineer, you will:
- Develop and integrate foundational models safely and reliably into functional, production-grade software
- Design, experiment, and orchestrate complex agentic workflows, translating cutting-edge AI capabilities into scalable business value
- Implement strict guardrails for data privacy, predictability, and explainability within your pod
- Collaborate tightly across disciplines to solve real customer challenges at global scale
Requirements:
- 10+ years of professional software engineering experience with deep expertise in distributed systems, cloud computing, and API design
- 2+ years of dedicated focus building production-grade LLM/agentic systems OR 7+ years of experience specifically within Machine Learning Engineering or AI application development
- 3+ years of hands-on experience integrating large models (LLMs, Foundation Models) and modern AI APIs into user-facing enterprise products
- 2+ years of experience designing and scaling complex AI orchestration architectures
- 6+ years of experience optimizing application performance
- 6+ years of proven experience leveraging cloud computing platforms (e.g., AWS, GCP)
Nice to Have:
- Bachelor’s degree (Master’s preferred) in Computer Science, Software Engineering, or equivalent technical field
- Strong understanding of how to execute governance, guardrails, security layers, and evaluation mechanisms necessary when deploying autonomous agents over sensitive enterprise HR and financial data
- Proven track record of technically leading engineering workstreams within a pod, taking ownership of the development lifecycle, and mentoring junior-to-mid level engineers
- Product-First AI Mindset: Deep focus on business value, user experience, and applying deep learning/large models directly to solve practical end-user challenges
- System Design & Reusability: Proven ability to architect robust application layers that wrap around AI models, establishing reusable patterns for system predictability, error handling, and seamless UX integration
- Experimentation & Evaluation: Skilled in rapid prototyping, benchmarking model outputs against product requirements, and setting up automated evaluation metrics
- Thrives in Ambiguity: Highly autonomous builder capable of taking open-ended product goals and breaking them down into concrete, scalable engineering realities
We offer a salary range of $246,000 - $370,000 per year, depending on location and experience. We also offer a comprehensive benefits package, including the Workday Bonus Plan, annual refresh stock grants, and flexible work arrangements.