AI Solutions Engineer

Academic Staff

Regular

Technical Integration Engineer III

The Division of Information Technology (DoIT) is an exciting and dynamic work environment grounded in organizational principles that include family and personal life/work balance; an inclusive, respectful, and supportive work environment; professional development opportunities; innovation; and alignment with the campus's teaching, learning, and research missions. DoIT provides core IT infrastructure services to the university, develops and implements services for the university and in some cases, for the Universities of Wisconsin, plays a major role in managing the state-wide higher education network and regional networks.

The Integrated Business Solutions team within the Division of Information Technology is seeking a highly skilled AI Solutions Engineer to design, build, operate, and continuously improve the cloud and hybrid platforms that support AI-enabled services. This position is responsible for managing multi-cloud infrastructure, automation, security, observability, and operational governance, enabling development teams to deliver reliable, scalable, and secure solutions. Working closely with software engineers, architects, business partners, and stakeholders across UW-Madison and affiliated university organizations, this role will drive the infrastructure and operational capabilities needed to support administrative AI and automation initiatives that improve organizational efficiency.

The successful candidate will help establish platform standards, streamline deployment processes, and advance the adoption of emerging technologies across the university. Candidates should enjoy working independently in an agile environment while contributing to the development and support of innovative AI solutions.

Responsibilities include:

• 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, CI/CD pipelines for automation and deployment processes that enable reliable and 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 that improve platform capabilities, operational efficiency, security, and developer experience

This position is eligible for any of the following: 100% remote work; partial remote work; or fully on-site. Remote work requires an approved flexible work arrangement (FWA), which is reviewed and approved annually. An FWA requires successful candidates to possess their own high-speed internet and phone to perform the work on a university provided computer. Per University policy, transportation between home and assigned work location is not payable/reimbursable and will be at the expense of the employee.

• Plans, coordinates, and executes the development, testing, implementation, integration, and installation of moderately complex system resources, upgrades, and security components in alignment with industry best practices
• Designs…