About the OpportunityThis job description is intended to describe the general nature and level of work being performed by people assigned to this classification. It is not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. JOB SUMMARYThe AI Operations Specialist will be responsible for the day-to-day management, monitoring, and operational support of the university's AI systems and data pipelines across various departments. This role is vital in ensuring AI solutions and their supporting data infrastructure function reliably, meet performance expectations, and continuously improve to deliver maximum value. The position requires expertise in MLOps practices, data pipeline operations, system monitoring, incident management, and continuous improvement of AI systems in production environments.This role is hybrid and in the office a minimum of three days a week to facilitate collaboration and teamwork. In-office presence is an essential part of our on-campus culture and allows for engaging directly with staff and students, sharing ideas, and contributing to a dynamic work environment. Being on-site allows for stronger connections, more effective problem-solving, and enhanced team synergy, all of which are key to achieving our collective goals and driving success. *Applicants must be authorized to work in the United States. The University is unable to work sponsor for this role, now or in the futureMINIMUM QUALIFICATIONSKnowledge and skills required for this position are normally obtained through a Bachelor's degree in Computer Science, Information Technology, or related field; technical certifications in relevant areas (e.g., cloud platforms, MLOps, data engineering) preferred and a minimum of 3 years of experience in IT operations, with at least 1 year focused on AI/ML systems and data pipeline support. Experience with cloud platforms (AWS, Azure, or GCP) and their AI/ML and data engineering service offerings.Other necessary skills:MLOps Experience: Demonstrated experience in operationalizing…