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. Agent Factory is where Workday’s next chapter gets built. We’re forming small, senior, cross‑functional AI teams that bring together product leaders, machine learning engineers, and full‑stack builders to create intelligent agents used by millions of people every day. This is production‑grade AI—deeply embedded into Workday’s platform—not research experiments or maintenance work. Teams own problems end to end, collaborate tightly across disciplines, and use the right tools to solve real customer challenges at global scale. You’ll work at the intersection of AI, platform architecture, and human workflows, with the autonomy to shape how agents reason, act, and scale responsibly. As a Principal AI Engineer in Agent Factory, you will lead the end‑to‑end system design, architectural framework, and product integration of Workday’s next generation of intelligent agents. While our ML Engineers focus on building, training, and optimizing foundational algorithms,



your mission is intelligence orchestration and product delivery—connecting the brain to the product. Sitting at the intersection of AI capabilities, enterprise platforms, and human workflows, you will architect how foundational models are safely and reliably integrated into functional, production‑grade software. You will own the design, experimentation, and orchestration of complex agentic workflows, translating cutting‑edge AI capabilities into enterprise‑grade business value. Because these agents interact with sensitive HR and financial data at a global scale, you will be a core champion for Responsible and Governed AI—architecting systems with strict guardrails for data privacy, predictability, and explainability. 10+ years of professional software engineering experience with deep expertise in distributed systems, cloud computing, and API design, plus 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, with 3+ years dedicated to shipping LLM‑backed products. ~3+ years of hands‑on experience integrating large models (LLMs, Foundation Models) and up-to-date AI APIs into user‑facing enterprise products. ~2+ years of experience designing and scaling complex AI orchestration architectures—including multi‑agent frameworks, routing layers, and advanced RAG pipelines.



~6+ years of experience optimizing application performance (specifically tackling constraints like API latency and user interaction design), with 2+ years applied to modern LLM constraints (such as token management, cost optimization, and context‑window efficiency). ~AWS, GCP) to deploy highly responsive, scalable systems. Bachelor’s degree (Master’s preferred) in Computer Science, Software Engineering, or equivalent technical field. Responsible AI Stewardship: Deep understanding of how to implement 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 cross‑functional pods, mentoring senior engineers, and steering the product development lifecycle from abstract concept to successful deployment. Product‑First AI Mindset: Deep focus on business value, user experience, and applying deep learning/large models directly to solve practical end‑user challenges. Expert‑level ability to architect robust application layers that wrap around AI models, ensuring system predictability, error handling, and seamless UX integration. Highly autonomous leader capable of taking complex, open‑ended product goals and turning them into scalable, concrete engineering realities. Workday Pay Transparency Statement Primary CAN Base Pay Range: $169,000
- $253,000 CAD Additional CAN Location(s) Base Pay Range: $169,000
- $253,000 CAD 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. For more information regarding Workday’s compr

📌 Sr AI Engineer (Vancouver)
🏢 Workday
📍 Vancouver