AI Solutions Engineer

Universities of Wisconsin • Madison, WI

3d • $110,000 - $130,000

About The Position

The Integrated Business Solutions team within the University of Wisconsin–Madison Division of Information Technology is seeking an AI Solutions Engineer to design, build, operate, and continuously improve cloud and hybrid platforms supporting AI-enabled services. The role manages multi-cloud infrastructure, automation, security, observability, and operational governance so development teams can deliver reliable, scalable, and secure solutions. It works with software engineers, architects, business partners, and stakeholders across UW–Madison and affiliated university organizations to enable administrative AI and automation initiatives that improve organizational efficiency.

The position helps establish platform standards, streamline deployment processes, and advance emerging technologies across the university. It operates across Integrated Business Solutions and the Administrative AI team, aligning infrastructure, operations, security, and service delivery practices to support enterprise AI solutions. The work includes supporting cloud applications, on-premises vendor platforms, custom systems, and cloud AI ecosystems such as Microsoft Foundry and Google Cloud.

The position may be performed fully remotely, partially remotely, or fully on-site. Remote work requires an annually reviewed and approved flexible work arrangement, as well as the employee's own high-speed internet and phone; the university provides a computer. The position requires U.S. work authorization without employer sponsorship. Employment may require a criminal background check and reference checks regarding misconduct.

Requirements

• Demonstrated experience designing, developing, deploying, and supporting production software applications using Python, Go, Rust, or other modern programming languages.
• Demonstrated experience provisioning and supporting cloud infrastructure using AWS, Azure, or GCP and Infrastructure-as-Code tools such as Terraform.
• Demonstrated experience implementing CI/CD pipelines and modern DevOps practices in production environments.
• Demonstrated experience deploying and operating containerized applications and Kubernetes platforms.
• Demonstrated experience implementing monitoring, troubleshooting, logging, security, observability, and operational support practices for enterprise applications and services.
• Experience supporting enterprise hybrid technology platforms spanning cloud and on-premises environments in higher education.
• Applicants must be authorized to work in the United States without employer sponsorship on or before the effective date of appointment.

Nice To Haves

• Experience using AI-assisted development tools such as GitHub Copilot, Claude Code, or similar technologies within professional software engineering workflows.
• Experience supporting multi-cloud platforms that host AI-enabled or data-intensive applications.
• Experience establishing platform standards, governance controls, networks, and security practices for cloud-native applications.

Responsibilities

• Lead the design, deployment, operation, and continuous improvement of hybrid AI platforms supporting and integrating AI-enabled services.
• Architect, design, and maintain secure traditional and AI infrastructure, automation, and CI/CD pipelines for reliable, scalable service delivery.
• Implement and support observability, monitoring, troubleshooting, logging, performance optimization, and operational practices that ensure platform reliability, security, and availability.
• Establish and maintain platform standards, governance controls, and operational best practices for hosted applications and services.
• Collaborate with developers, architects, security and network teams, and business stakeholders to support onboarding, deployment, and operation of AI applications on the Cloud AI platform.
• Evaluate and recommend technologies to improve platform capabilities, operational efficiency, security, and developer experience.
• Plan, coordinate, and execute development, testing, implementation, integration, and installation of moderately complex system resources, upgrades, and security components in alignment with industry best practices.
• Design small components and run, maintain, and operate technical systems and infrastructure.
• Plan and direct staff implementation of small to medium technical projects as needed.
• Assist in the adoption of agentic AI solutions.
• Integrate, identify, troubleshoot, monitor, and resolve complex and varied supported services, systems, network, and application problems according to established processes and procedures.
• Serve as an expert point of contact for external stakeholders and IT partners regarding system integrations; identify needs, provide solution options, and communicate issue updates and resolutions.
• Participate in evaluation of vendor software releases, upgrade planning, and impact; document and communicate system enhancements or changes.
• Assist in designing system and infrastructure specifications, implementation, and/or integration, trend analysis, and capacity planning.

Benefits

• Generous vacation, holidays, and sick leave.
• Competitive insurances and savings accounts.
• Retirement benefits.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level