Architect production-grade AI systems at Workday in Vancouver, integrating large language models, distributed platforms, and enterprise APIs for intelligent agents.As a Principal AI Engineer in Agent Factory, you will lead end-to-end system design, architectural frameworks, and product integration. You will orchestrate agentic workflows, connect foundational models to Workday products, and address latency, cost, reliability, privacy, predictability, and explainability. The team builds production-grade agents for global customers.Key Responsibilities: Lead end-to-end system design for intelligent agentsArchitect frameworks integrating foundational models into enterprise softwareDesign, experiment, and orchestrate complex agentic workflowsImplement guardrails for privacy, predictability,



and explainabilityResolve latency, cost, and reliability constraintsRequirements: 10+ years software engineering experience with distributed systems, cloud, and API expertise2+ years building production-grade LLM or agentic systems3+ years integrating large models into enterprise products2+ years designing complex AI orchestration architecturesBachelor’s degree in computer science or equivalent technical fieldLead Workday’s AI architecture through responsible orchestration, robust integration, and reliable delivery of enterprise intelligent agents.#J-18808-Ljbffr

📌 Principal Ai Systems Engineer (Vancouver)
🏢 Workday
📍 Vancouver