AI System Engineer II

University of Wisconsin Stout•Menomonie, WI

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 work, including solving complex problems and developing approaches to ensure long-term systems operations and administration under limited supervision. The position collaborates with campus stakeholders to identify opportunities for secure and effective AI adoption, develops and maintains AI solutions and integrations, and contributes to the governance, lifecycle management, and strategic planning of institutional AI resources. It ensures AI technologies are deployed and operated in accordance with institutional security, privacy, accessibility, compliance, and operational standards. The role is within Learning and Information Technology (LIT), which supports UW-Stout Polytechnic’s educational mission through secure, high-quality, reliable, and flexible technology. Infrastructure Services supports the campus academic community with desktop management, computer labs, network file storage, email, desktop software deployment, server management, authentication, and voice and data networking. Some travel is required for meetings, workshops, and conferences, including some nights and weekends. The position is terminal (fixed term). The stated salary range is $54,000–$60,000, commensurate with qualifications and experience.

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 their 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.
Scripting experience or use of 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, applications, AI platforms, services, and integrations.
Design, install, configure, test, and maintain complex automation, hardware, AI-enabled systems and services, agents, copilots, bot platforms, and associated equipment.
Support AI infrastructure, including cloud-based AI services, automation platforms, data connections, and related technologies.
Plan and coordinate system logistics, operational workflows, upgrades, security, and related procedures.
Document and communicate deployed systems, upgrades, and changes in accordance with established policies and procedures.
Establish and apply scalable, maintainable, and supportable AI solutions aligned with infrastructure architecture standards.
Support controls 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.
Identify opportunities to enhance, adopt, and strategically align AI-enabled capabilities 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, including documentation, ownership, 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.