Enterprise AI & Automation Engineer

About the role

The Enterprise AI & Automation Engineer serves as a technical resource within the IT Services department and is responsible for supporting the planning, development, implementation, and support of artificial intelligence, including agentic AI, automation, workflow improvement, and enterprise technology solutions that improve University operations.

Responsibilities

• Support the planning, development, implementation, and support of artificial intelligence, including agentic AI, automation, workflow improvement, and enterprise technology solutions that improve University operations.
• Work directly with university stakeholders to understand needs, develop practical solutions, and support successful implementation.
• Assist academic and administrative departments in understanding operational needs, recommending appropriate technology solutions, and assisting with the implementation of secure, supportable, and effective systems.
• Design, prototype, implement, and support AI, automation, workflow, reporting, integration, and agentic AI solutions that assist with task execution, workflow automation, decision support, service delivery, and other approved institutional use cases.
• Ensure that all solutions are developed and maintained in compliance with university expectations for data governance, information security, privacy, accessibility, FERPA, records retention, and the responsible use of artificial intelligence.
• Develop documentation, standards, training materials, and best practices that support the consistent and effective adoption of AI, automation, and enterprise technology solutions.
• Participate in solution intake, prioritization, feasibility reviews, risk assessments, and value analysis in collaboration with IT leadership and appropriate governance groups.
• Maintain and monitor supported solutions for reliability, usability, performance, security, adoption, and continued alignment with stakeholder and institutional needs.

Requirements

• A bachelor’s degree in information technology, computer science, information systems, data analytics, business technology, or a related field is required; an equivalent combination of education and experience may be considered.
• Knowledge of current technological developments and trends related to artificial intelligence, automation, enterprise applications, data integration, and information systems, along with a working knowledge of enterprise technology platforms, cloud services, automation tools, collaboration systems, and related technologies used to support institutional operations.
• Strong analytical, problem-solving, documentation, facilitation, interpersonal, and communication skills are essential.
• An understanding of data governance, privacy, accessibility, FERPA, information security, and the responsible use of institutional data is preferred.
• Experience with agentic AI or AI coworker platforms, IT systems implementation, application development, automation, systems integration, business analysis, solution architecture, or enterprise application support is preferred.
• Experience in higher education, student information systems, learning management systems, CRM platforms, ERP systems, data governance, or regulated data environments is also preferred.

Qualifications

• Three to seven years of experience directly related to the duties and responsibilities of the position.