Manager, AI Engineering

Date Posted: 12/16/2025Req ID:46387Faculty/Division: Office of the Chief Information OfficerDepartment: Enterprise Infrastructure SolutionsCampus: St. George (Downtown Toronto) Description: About Us: Information Technology Services at the University of Toronto is committed to leveraging technology as a powerful tool for empowerment and impact and recognizes AI as a transformative catalyst for this work.  In the AI Task Force Report, the university lays out an approach to responsible AI adoption, ensuring that the future of our technology solutions are inclusive, ethical, sustainable, and instill digital trust.  We are excited for modernized approaches enabling us to serve 100,000 students across three campuses, librarians curating extraordinary collections, faculty and researchers who are on the frontiers of new knowledge, and staff colleagues across our vibrant campus. Your Opportunity: Under the general direction of the Senior Manager, AI Strategy & Platforms, the Manager, AI Engineering & Operations manages the daily operations of the AI technical team. The incumbent provides exceptional leadership and technical direction to a team of specialists, including the AI Developer & Integration Specialist and the AI Platform Architect. This role is responsible for the design, implementation, maintenance, and trouble-free operation of the University's mission-critical AI infrastructure and platforms, which are expected to operate 7x24 in a lights-out data center environment. The manager is responsible for setting project priorities for the technical team, assigning and evaluating staff resource allocation, and ensuring the effective and efficient delivery of AI services. They will combine data-driven decision-making with deep technical experience to enhance service delivery, reliability, and security. The incumbent will oversee the development and enforcement of technical standards and processes for operations that proactively prevent problems from occurring. This role serves as the primary technical contact for clients and colleagues, ensuring clear, concise, and timely communication reflective of a customer-service-oriented operational culture.  Required Qualifications: EDUCATION: University degree in Computer Science, Engineering, or a related field, or an acceptable equivalent combination of education and experience. A Master's degree in a relevant discipline is an asset. Relevant industry certifications, such as NVIDIA AI in the Data Centre or NVIDIA AI Infrastructure and Operations, are a strong asset. EXPERIENCE: A minimum of seven (7) to ten (10) years of hands-on work experience in enterprise systems administration, with at least three (3) to five (5) years of experience in a management or team lead capacity, preferably in a unionized environment. Extensive experience with Type-1 hypervisors (e.g., VMware), enterprise storage (SAN/NAS), and networking is required. Project management experience with complex enterprise solutions is essential. Experience with DevOps/MLOps methodologies, container orchestration (e.g., Kubernetes), public cloud hybrid infrastructure, and administering AI/ML hardware (e.g., GPUs) is highly desirable. Demonstrated ability to program in administrative scripting languages (e.g., Python, shell) is required. Hands-on experience with the NVIDIA AI Enterprise software suite is required. The role requires proven experience with both open-source and proprietary Large Language Models (e.g., Meta Llama 3/4, Qwen2, NVIDIA Nemotron-4) and a deep, practical understanding of Retrieval-Augmented Generation (RAG) frameworks, including techniques such as contextual retrieval, chunking, and embeddings. SKILLS: Strong interpersonal and communication skills are required; an ability to solve problems quickly and independently required. Excellent communication skills, both verbal and written are required. Ability to successfully manage relationships with peers, clients and vendors.  Ability to exercise judgment, tact, discretion, initiative and determination.  Independent decision making capability and pro-active problem-solving skills. Superior organizational skills in planning and project management. Thorough knowledge of software architecture.  OTHER: An extraordinary attention to detail is essential. Superior organizational and leadership abilities, judgment, and tact.  Ability to work well with all levels of academic and administrative staff.  High degree of initiative.  Closing Date: 01/15/2026,11:59PM ETEmployee Group: Salaried Personnel Subarea:PMAppointment Type: Budget - Continuing Schedule: Full-TimePay Scale Group & Hiring Zone: PM 5 -- Hiring Zone: $120,499 - $140,583 -- Broadband Salary Range: $120,499 - $200,831Job Category: Information Technology (IT)