AI Solutions Engineer

University of Wisconsin Madison • Madison, WI

2d

About The Position

The Division of Information Technology (DoIT) at UW–Madison is seeking an AI Solutions Engineer for its Integrated Business Solutions team. The role designs, builds, operates, and continuously improves cloud and hybrid platforms that support AI-enabled services. It manages multi-cloud infrastructure, automation, security, observability, and operational governance so development teams can deliver reliable, scalable, and secure solutions.

Working across Integrated Business Solutions and the Administrative AI team, the position partners with software engineers, architects, business partners, security and network teams, and stakeholders across UW–Madison and affiliated university organizations. It helps establish platform standards, streamline deployments, and advance emerging technologies in support of administrative AI and automation initiatives. The role operates in an agile environment and supports enterprise AI solutions with secure, scalable, and well-governed technology foundations.

The position may be performed fully remotely, partially remotely, or fully on-site, subject to an annually reviewed and approved flexible work arrangement. Remote employees must provide their own high-speed internet and phone and use a university-provided computer. The advertised starting salary range for well-qualified applicants is $110,000–$130,000, with the final salary based on experience and qualifications.

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.
• Bachelor’s degree, preferably in Computer Science, Information Technology, or a related field.
• Must be authorized to work in the United States without employer sponsorship on or before the appointment date; university sponsorship is unavailable.

Nice To Haves

• Experience using AI-assisted development tools such as GitHub Copilot, Claude Code, or similar technologies in 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 and automation, including CI/CD pipelines that support 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 line with industry best practices.
• Design small system 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 adopting agentic AI solutions.
• Integrate, identify, troubleshoot, monitor, and resolve complex problems involving supported services, systems, networks, and applications according to established processes and procedures.
• Serve as an expert point of contact for external stakeholders and IT partners on system integrations; identify needs, provide solution options, and communicate issue updates and resolutions.
• Participate in evaluating vendor software releases and upgrade planning and impact; document and communicate system enhancements or changes.
• Assist in designing system and infrastructure specifications, implementation, and integration, as well as 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: Senior