AI System Engineer II

Universities of Wisconsin•Menomonie, WI

5d•$54,000 - $60,000

About The Position

The AI Systems Engineer I/II supports, integrates, maintains, and advances artificial intelligence technologies and automation capabilities across the institution. The role provides technical support for AI-enabled infrastructure, intelligent automation, AI agents, bots, copilots, and emerging AI technologies used in academic, administrative, and operational functions. It may also involve complex, project-related, and non-routine systems engineering, including solving complex problems and developing work approaches to meet long-term systems operations and administration requirements under limited supervision. The position works with campus stakeholders to identify opportunities for secure and effective AI adoption; develops and maintains AI solutions and integrations; and contributes to governance, lifecycle management, and strategic planning for institutional AI resources. It ensures AI technologies are deployed and operated in accordance with institutional security, privacy, accessibility, compliance, and operational standards. The position is in Learning and Information Technology (LIT), which stewards technology in support of education at UW-Stout Polytechnic. Infrastructure Services supports the academic community through desktop management, network file storage, email, software management and deployment, server management, and authentication services. Its Technology and Networking group provides the campus voice and data network. The position requires mobility in a standard office setting, use of standard office equipment, hearing and speech for in-person and telephone conversations, and vision to read printed materials and computer screens. Accommodation may be made for qualified individuals who request it. Some travel is required for meetings, workshops, and conferences, including some nights and weekends. The salary range is $54,000–$60,000, commensurate with qualifications and experience. Employment is terminal (fixed term).

Requirements

Associate’s degree or an equivalent combination of education and work experience in a relevant field by the employment start date.
Microsoft server administration experience in a physical or virtual environment.
Ability to work with diverse clients to understand needs and provide solutions and expertise.
Excellent communication, teamwork, and organizational skills.

Nice To Haves

Experience administering Office 365 and Azure services.
Experience administering Microsoft Power Platform, Copilot Studio, Azure AI services, or similar enterprise AI and automation platforms.
Experience working with identity and access management systems such as OKTA and Entra ID.
Experience with Microsoft Defender for Cloud Apps.
Experience implementing and maintaining servers hosted in Microsoft Azure.
Experience performing security and risk reviews of AI agents, connectors, service accounts, and data sources.
Experience implementing data governance and protection controls using technologies such as Microsoft Purview, sensitivity labels, data loss prevention policies, retention controls, and data classification.
Experience securing Windows servers in accordance with industry best practices.
Experience with scripting or similar technologies to automate repetitive tasks.
Experience creating technical diagrams and documentation.

Responsibilities

Identify, troubleshoot, research, and resolve issues involving complex and non-routine systems, platforms, networks, and applications, including AI platforms, services, and integrations, to ensure security, confidentiality, compatibility, and functionality in accordance with policies, procedures, and regulations.
Design, install, configure, test, and maintain complex automation, hardware, AI-enabled systems, services, agents, copilots, bot platforms, and associated equipment according to customer specifications and unit objectives.
Support AI infrastructure, including cloud-based AI services, automation platforms, data connections, and associated technologies; plan and coordinate system logistics, operational workflows, upgrades, security, and related procedures.
Document and communicate deployed systems, upgrades, and changes to appropriate entities according to established policies and procedures.
Establish and apply scalable, maintainable, and supportable AI solutions aligned with infrastructure architecture standards and operational practices for responsible, secure, and compliant operation of university AI platforms and services.
Evaluate AI tools and solutions for security, privacy, accessibility, compliance, and institutional risk, and identify opportunities for enhancement, adoption, and strategic alignment across university-supported hardware, software, and cloud services.
Participate in cross-functional committees, working groups, and governance bodies focused on AI and technology innovation.
Maintain an inventory of institutional AI tools, agents, bots, copilots, automations, and AI-enabled services.
Ensure deployed solutions have appropriate documentation, ownership assignments, support plans, maintenance schedules, lifecycle status, and operational accountability; develop training materials, technical documentation, knowledge articles, and support resources.
Maintain awareness of higher education AI trends and regulatory developments.
Serve as a technical advocate for internal and operational innovation, security, and practical applications of AI technologies across the university.