AI Platform Engineer III

University Information Technology (UIT) is the central IT service provider for the University of Utah, reporting to the Chief Information Officer. UIT manages shared IT services including wired and wireless networks, the Campus Information Services (CIS) portal, UMail, telephone, online collaboration, digital learning technologies, information security, software licensing, and other IT systems and services.

The University of Utah, located in Salt Lake City, is the flagship institution of Utah's higher education system. It offers a vibrant cultural and recreational environment, including arts and museum venues, BIG-12 athletics, nearby skiing and snowboarding, and diverse outdoor activities.

Responsibilities

• Design, develop, deploy, and support enterprise AI solutions that improve productivity, automate business processes, and deliver measurable business value.
• Build and maintain custom AI agents, GPTs, copilots, and agentic workflows that support academic, administrative, operational, research, and financial use cases.
• Administer and optimize enterprise AI platforms including OpenAI ChatGPT Enterprise, Anthropic Claude Enterprise, Microsoft Copilot, Google Gemini, NotebookLM, AWS Bedrock, Azure AI Foundry, Microsoft Fabric, and future University-approved AI services.
• Develop AI-powered solutions for financial reporting, business intelligence, executive reporting, operational analytics, forecasting, workflow automation, and decision support.
• Design and implement advanced AI architectures utilizing Model Context Protocol (MCP), retrieval augmented generation (RAG), tool integrations, orchestration frameworks, enterprise knowledge systems, and API-based solutions.
• Create, test, evaluate, and optimize prompts, workflows, instructions, and AI evaluation frameworks to improve solution quality, reliability, accuracy, and user adoption.
• Develop integrations between AI platforms and enterprise systems using APIs, automation platforms, cloud services, databases, and business applications.
• Administer AI governance, security, compliance, identity management, access controls, licensing, usage monitoring, and operational standards while ensuring responsible and secure use of AI technologies.
• Collaborate with University leadership, business units, and technical teams to identify, evaluate, prototype, and operationalize high-value AI use cases and emerging technologies.
• Provide technical leadership, consulting, documentation, training, troubleshooting, and production support for enterprise AI platforms, AI-powered solutions, and AI engineering best practices.

Requirements

• Bachelor’s degree (or equivalency) plus 6 years of directly related work experience, or a master’s degree (or equivalency) plus 4 years of directly related work experience.
• Minimum one (1) year of hands-on professional experience working with generative AI platforms and large language models in a production or enterprise environment. This requirement is mandatory and cannot be substituted.
• Experience designing, developing, and deploying production AI agents, custom GPTs, copilots, intelligent assistants, and agentic workflows.
• Demonstrated expertise in prompt engineering, prompt optimization, AI evaluation methodologies, and improving AI solution accuracy and performance.
• Experience building AI-powered solutions for financial reporting, business intelligence, operational analytics, executive reporting, forecasting, process automation, and decision support.
• Knowledge of AI governance, security, privacy, compliance, and responsible AI practices.

Preferred Qualifications

• Two or more years of hands-on experience working with enterprise generative AI technologies and large language models.
• Experience administering and supporting enterprise AI platforms such as OpenAI ChatGPT Enterprise, Anthropic Claude Enterprise, Microsoft Copilot, Google Gemini Enterprise, AWS Bedrock, Azure AI Foundry, Microsoft Fabric, or similar technologies.
• Experience implementing and supporting agentic AI architectures, including Model Context Protocol (MCP), retrieval augmented generation (RAG), tool integrations, and AI orchestration frameworks.
• Experience with cloud AI platforms and services including AWS SageMaker, AWS Bedrock, Azure AI Foundry, Microsoft Fabric, Google Vertex AI, or comparable environments.
• Experience integrating AI platforms with enterprise applications, APIs, databases, cloud services, and business workflows.
• Experience with Microsoft 365, Microsoft Entra ID, Google Workspace, Grouper, or comparable identity and collaboration platforms.
• Proficiency with Python, PowerShell, REST APIs, JSON, automation frameworks, or related technical skills.
• Experience working in higher education, research computing, academic technology, or other complex institutional environments.
• Experience supporting faculty, researchers, students, and university administrative functions.
• Experience with vector databases, embeddings, semantic search, enterprise search, knowledge management systems, and retrieval augmented generation (RAG) solutions.
• Experience leading AI proof-of-concepts, pilot projects, enterprise AI adoption initiatives, and cross-functional AI solution development efforts.

Pay

$100,000-125,000

Schedule

Full-time, Monday through Friday, 8:00 AM to 5:00 PM