AI Platform Engineer III

The AI Platform Engineer III is responsible for designing, developing, implementing, governing, and supporting enterprise artificial intelligence solutions across the University. This position serves as a technical leader for generative AI platforms, AI-powered applications, custom agents, workflow automation, and enterprise AI adoption.

The successful candidate will possess demonstrated experience administering enterprise AI platforms, developing custom AI agents and GPTs, implementing agentic workflows, applying advanced prompt engineering techniques, and building AI-powered business solutions that improve productivity, automate business processes, support financial reporting and analysis, and enhance decision-making.

This position works closely with university leadership, researchers, business units, developers, security teams, and technology partners to identify, develop, and operationalize high-value AI use cases. Responsibilities include AI platform administration, AI solution architecture, agent development, AI governance, enterprise integrations, and business process automation., AI Platform Engineer III

• 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.

This is not an entry-level AI position. Candidates must demonstrate prior hands-on experience working with enterprise AI platforms, large language models, agentic frameworks, custom AI agents, and AI solution development. The selected candidate will be expected to contribute immediately as an experienced AI practitioner., EQUIVALENCY STATEMENT: 1 year of higher education can be substituted for 1 year of directly related work experience (Example: bachelor's degree = 4 years of directly related work experience). Department may hire employee at one of the following job levels: IT Software Engineer, III: Requires a bachelor's (or equivalency) + 6 years or a master's (or equivalency) + 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., * 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 is strongly preferred.
• 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., The University of Utah values candidates who have experience working in settings with students and possess a strong commitment to improving access to higher education., + High School Diploma or Equivalent

• Associate Degree
• Bachelor's Degree
• Master's Degree
• Doctorate Degree

2. • How many years of related work experience do you have?

• Less than 2 years
• 2 years or more, but less than 4 years
• 4 years or more, but less than 6 years
• 6 years or more, but less than 8 years
• 8 years or more, but less than 10 years
• 10 years or more, but less than 12 years
• 12 years or more, but less than 14 years
• 14 years or more

About UIT: University Information Technology (UIT), the central IT service provider for the University of Utah, reports to the U's Chief Information Officer and is responsible for many of the U's shared IT services including the wired and wireless network; Campus Information Services (CIS) portal; UMail, telephone, and online collaboration; digital learning technologies; information security; software licensing; and a host of other IT systems and services. About the University of Utah: Located in Salt Lake City, the U is the flagship institution of the State of Utah's system of higher education, home to arts and museum venues and a member of the BIG-12 Conference. Skiing and snowboarding opportunities are a short distance from campus, and opportunities to pursue activities from biking to hiking to fishing abound. Salt Lake City is home to the Utah Symphony and Opera, Ballet West, professional sports teams, and a wide range of other cultural and recreational activities.