Date Posted: 09/29/2026Req ID: 50347Faculty/Division: VP-People, Finance & Digital ServicesDepartment: Enterprise Infrastructure SolutionsCampus: St. George Downtown TorontoPosition Number: 00058955 Existing Vacancy: Yes Description: About us: The Enterprise Infrastructure Solutions EIS group, part of the Information Technology Services ITS division, is responsible for campus core network, campus wireless, wide area network connectivity and internet connectivity for the University, including connectivity to research and education networks.EIS is also responsible for services related to departmental network management, network, server and storage infrastructure, Windows and Linux servermanagement services, database and application integration and support, enterprise backup service, 24/7 operation of central administrative data centres and telecommunications services.If you’re motivated and passionate about learning technologies and dedicated to improving experiences for today’s student, consider a career with us. Your opportunity: Reporting to the Manager, AI Engineering & Operations within the Enterprise Infrastructure Solutions group, the AI Infrastructure & Solutions Architect plays a critical role in defining the future of research and administrative computing at the University. In this role, you will lead the architectural design and deployment of secure, scalableAI platforms that serve the entire campus community, spanning the University’s own data centres and private cloud as well as the major public cloud platforms AWS, Microsoft Azure, and Google Cloud. You will bridge the gap between high-performancehardware, cloud services, and practical user applications, ensuring that our AI platforms, from on-premises GPU clusters and sovereign data sandboxes to cloud-hosted AI services, are reliable, supportable, cost-effective, and aligned with institutional governance and ethical AI frameworks.You will collaborate closely with AI Developers & Integration Specialists, while retaining ownership of platform architecture, workload placement, reliability, security posture, cost efficiency, and lifecycle management across the University’s on-premises infrastructure and multiple public cloud environments.This role offers a rare opportunity to design and operate AI platforms at institutional scale across a multi-cloud estate that combines sovereign, on-premises capabilities with AWS, Microsoft Azure, and Google Cloud, supporting both cutting-edge research and mission-critical administrative use cases. Your responsibilities will include: Architecting and operating container orchestration platforms Kubernetes/K8s on-premises and in the cloud e.g., EKS, AKS, GKE, including GPU operators and AI-aware schedulers for efficient accelerator utilization. Defining and maintaining the University’s multi-cloud AI reference architecture and workload placement framework, determining where AI workloads run across the University’s on-premises infrastructure,
