More jobs:
Manager, AI Platforms and Integrations
Job in
Orlando, Orange County, Florida, 32885, USA
Listed on 2026-10-17
Listing for:
University of Central Florida - College of Medicine
Full Time
position Listed on 2026-10-17
Job specializations:
-
IT/Tech
AI Business & Operations -
Management
AI Business & Operations
Job Description & How to Apply Below
Orlando, FL (Main Campus):
Full time:
Posted Today:
End Date:
October 22, 2026 (6 days left to apply):
R114413
** University Operations:
** University Operations at UCF is committed to creating a supportive and welcoming environment for our faculty, staff, students, and the broader community. We take pride in delivering exceptional service, sharing our expertise, and upholding the highest standards to ensure a world-class campus experience.
Visit our
** website
* * or follow us on
* * and
* * to learn more.
** The Opportunity**:
The UCF IT division within University Operations is seeking an innovative and experienced Manager, Enterprise Infrastructure (AI Platforms & Integrations) to lead the team responsible for the university's enterprise artificial intelligence platforms, AI-enabled automation solutions, and system integrations. This position provides operational leadership and technical oversight for the development, delivery, and support of secure, scalable, and governed AI services that support academic, research, and administrative functions across the university.
This position will oversee AI platform operations, enterprise AI development, automation initiatives, and integration services while collaborating with university stakeholders to advance responsible AI adoption and improve operational efficiency.
Classification
Title:
Manager, Enterprise Infrastructure
** Responsibilities:
*** Lead and manage the AI Platforms and Integrations team, providing strategic direction, workload prioritization, coaching, performance management, and professional development for technical staff.
* Establish and maintain team operating procedures, intake processes, documentation standards, service delivery expectations, and support models.
* Oversee the operation, monitoring, security, performance, and lifecycle management of enterprise AI platform services, including AI gateways, approved model access, model routing, and local GPU-enabled services.
* Lead the development of enterprise AI assistants, agents, automations, and reusable AI-enabled solutions that deliver measurable institutional value.
* Direct projects from solution design and prototyping through testing, deployment, and operational support while ensuring compliance with security, privacy, accessibility, and responsible AI standards**.
*** Manage the development and support of enterprise integrations, APIs, connectors, and data-access services that connect AI platforms with enterprise systems and data sources.
* Collaborate with cybersecurity, enterprise architecture, infrastructure, data governance, identity management, and application teams to ensure services are secure, compliant, scalable, and supportable.
* Monitor service performance, customer feedback, operational metrics, risks, and incidents to drive continuous improvement and service excellence.
* Contribute to institutional AI governance, standards development, roadmaps, and strategic technology initiatives.
** Minimum Qualifications**:
Bachelor’s degree and 6 years of relevant experience; or High School Diploma (or equivalent) and 10 years of relevant experience; or an equivalent combination of education and experience pursuant to Fla. Stat. 112.219(6).
** Preferred Qualifications**:
* Experience managing or supporting enterprise technology services, software development, integrations, cloud platforms, AI solutions, or automation initiatives.
* Experience leading projects, teams, or operational technology services in a complex environment.
* Knowledge of application integrations, APIs, enterprise platforms, and IT service delivery practices.
* Strong leadership, communication, organizational, and problem-solving skills.
* Ability to collaborate effectively with technical and non-technical stakeholders and translate business needs into technology solutions.
* Experience leading teams responsible for artificial intelligence, automation, enterprise software development, cloud platforms, or integrations.
* Knowledge of generative AI technologies, AI platforms, large language models (LLMs), AI agents, and enterprise AI governance practices.
* Experience developing and supporting APIs, integrations, connectors, and data-access services across enterprise environments.
* Experience with cloud platforms, AI infrastructure, GPU-enabled computing, or enterprise platform operations.
* Knowledge of cybersecurity, identity and access management, data governance, privacy,…
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