AI Platform Engineer II

University of Central Florida • Orlando, FL

1d • Onsite

About The Position

University Operations at UCF is dedicated to fostering a supportive and welcoming environment for faculty, staff, students, and the community, providing exceptional service and a world-class campus experience. UCF IT is seeking an AI Platform Engineer II to support the university's AI platform operations. This role involves operating, monitoring, and maintaining core AI services such as AI Gateway, API Management, model-serving environments, and local GPU compute resources. The position ensures reliable AI service delivery, manages the local model lifecycle, and maintains operational readiness for model hosting, fine-tuning, training, and inference workloads, all while adhering to university governance, privacy, and security standards. The classification title for this role is Systems Engineer II.

Requirements

• Bachelor’s degree and 2 years of relevant experience; or High School Diploma (or equivalent) and 6 years of relevant work experience in lieu of degree; or an equivalent combination of education and experience pursuant to Fla. Stat. 112.219(6).
• Position requires a valid Class E driver’s license.
• The position may involve driving to various locations on and off campus to conduct University business.
• All applicants must be authorized to work for any U.S. employer.
• Visa sponsorship is not available for this position, and the university cannot accommodate H‑1B transfers or employment-based visa processing for individuals currently sponsored by another employer.

Nice To Haves

• Experience supporting enterprise AI, machine learning, cloud, or platform services, including API management, model-serving environments, and application integrations.
• Knowledge of containerization and modern deployment technologies such as Docker, Kubernetes, infrastructure-as-code, CI/CD pipelines, and automated deployment practices.
• Experience administering or supporting Linux-based server environments, GPU-enabled compute infrastructure, high-performance computing resources, or cloud-hosted AI workloads.
• Familiarity with identity and access management technologies, including Microsoft Entra ID, OAuth 2.0, OpenID Connect (OIDC), role-based access controls, and enterprise authentication frameworks.
• Experience utilizing monitoring, observability, and reporting tools to track service health, system performance, capacity utilization, availability, and operational metrics.
• Knowledge of AI governance, data privacy, cybersecurity, and responsible AI principles, including model lifecycle management, auditability, documentation, and compliance with organizational standards.

Responsibilities

• Operate, monitor, and support AI platform services including the AI Gateway, API Management, model-serving endpoints, and related back-end services.
• Monitor availability, latency, errors, capacity, and service health; troubleshoot routine issues and escalate complex incidents to senior staff.
• Assist with operating local GPU nodes and compute environments used for model hosting, fine-tuning, training, and inference workloads.
• Support resource utilization, environment configuration, operational readiness, and routine maintenance of compute services.
• Maintain the life cycle of approved local models, including version tracking, deployment support, retirement planning, documentation, and alignment with governance, security, and operational standards.
• Support CI/CD pipelines, infrastructure-as-code configurations, container deployments, observability tooling, and repeatable deployment patterns for AI services and integrations.
• Apply established governance, privacy, and security standards to AI deployments, including authentication, authorization, logging, data handling, and responsible AI controls.
• Support Entra ID, OAuth/OIDC, and role-based access patterns for AI platform services.
• Maintain architecture diagrams, standard operating procedures, runbooks, model inventories, service dashboards, usage reports, cost reporting, and capacity metrics for AI platform operations.
• Assist senior engineers, AI Center of Excellence staff, and campus partners with routine platform questions, on boarding support, workshops, and operational guidance related to supported AI services.
• Other duties as assigned.

Benefits

• Medical, Dental, Vision, Life Insurance, Flexible Spending, and Employee Assistance Program
• Paid time off, including annual and sick time off and paid holidays
• Retirement savings options
• Employee discounts, including tickets to many Orlando attractions
• Education assistance

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level