AI Solutions Engineer

About the role

Current Employees: If you are currently employed at any of the Universities of Wisconsin, log in to Workday to apply through the internal application process.

• Job Category: Academic Staff
• Employment Type: Regular
• Job Profile: Technical Integration Engineer III

Job Summary

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

Additional information

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.

Key Job Responsibilities

• 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 small components and runs, maintains, and operates technical systems and infrastructure
• Plans and directs staff implementation of small to medium technical projects as needed
• Assist in the adoption of agentic AI solutions
• Integrates, identifies, troubleshoots, monitors, and resolves complex and varied supported services, systems, network, and application problems according to established processes and procedures
• Serves as an expert point of contact for external stakeholders and IT partners regarding system integrations, identifies needs, provides solution options, and communicates issue updates and resolutions
• Participates in the evaluation of vendor software releases, upgrade planning, and impact. Documents and communicates system enhancements or changes
• Assists in the design of system and infrastructure specifications, implementation, and/or integration, trend analysis, and capacity planning

Department

Division of Information Technology, Enterprise Business Systems, Integrated Business Solutions

Enterprise Business Systems (EBS) delivers comprehensive services to UW-Madison and Universities of Wisconsin constituents. Our offerings include Enterprise Resource Planning (ERP), Enterprise CRM and Engagement Services, Business Orchestration Automation Technologies, and Administrative AI Solutions. We support a wide range of solutions including cloud applications, on-premises vendor platforms, and custom systems.

Our teams leverage next-generation cloud AI ecosystems (such as Microsoft Foundry and Google Cloud) alongside advanced AI coding assistants to design, program, integrate, and test modern software at scale.

The Integrated Business Solutions team provides low-code development, platform services, data integration, and API management capabilities that enable university business operations. This position operates at the intersection of Integrated Business Solutions and the Administrative AI team, providing leadership to ensure AI services are supported by secure, scalable, and well-governed technology foundations. Working across both organizations, the role helps align infrastructure, operations, security, and service delivery practices to enable the successful deployment and support of enterprise AI solutins.

Compensation

Starting salary will be based on experience and qualifications. Well qualified applicants can expect to earn between $110,000 - $130,000, with final salary based on experience and qualifications.

Employees in this position can expect to receive benefits such as generous vacation, holidays, and sick leave; competitive insurances and savings accounts; retirement benefits.

Required Qualifications

• 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, securing, 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

Preferred Qualifications

In addition to required qualifications, the most qualified candidates may also have the following preferred qualifications:

• 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.

Education

• Bachelor's Degree preferably in Computer Science, Information Technology or related field
• How to Apply: Click on the "Apply" button to start the application process.

You will be prompted to upload the following documents

• Resume
• Letter of Qualifications

Additional information

Applicants should attach a letter of qualifications and resume detailing their training and experience relating to the required and preferred qualifications referenced above. The application reviewers will be relying on written application materials to determine which qualified applicants will advance in the recruitment process.

Please note that successful applicants must be authorized to work in the United States without need of employer sponsorship, on or before the effective date of appointment. University sponsorship is not available for this position.

Contact Information: Relay Access (WTRS): 7-1-1. See RELAY_SERVICE for further information.

Institutional Statement on Diversity

Diversity is a source of strength, creativity, and innovation for UW-Madison. We value the contributions of each person and respect the profound ways their identity, culture, background, experience, status, abilities, and opinion enrich the university community. We commit ourselves to the pursuit of excellence in teaching, research, outreach, and diversity as inextricably linked goals.

The University of Wisconsin-Madison fulfills its public mission by creating a welcoming and inclusive community for people from every background - people who as students, faculty, and staff serve Wisconsin and the world.

The University of Wisconsin-Madison is an Equal Opportunity Employer.

We promote excellence by acknowledging skills and expertise from all backgrounds and encourage all qualified individuals to apply. For more information regarding applicant and employee rights and to view federal and state required postings, visit the Human Resources Workplace Poster website.

To request a disability or pregnancy-related accommodation for any step in the hiring process (e.g., application, interview, pre-employment testing, etc.), please contact the Divisional Disability Representative (DDR) in the division you are applying to. Please make your request as soon as possible to help the university respond most effectively to you.

Employment may require a criminal background check. It may also require your references to answer questions regarding misconduct, including sexual violence and sexual harassment.

The University of Wisconsin System will not reveal the identities of applicants who request confidentiality in writing, except that the identity of the successful candidate will be released. See Wis. Stat. sec. 19.36(7).

The Annual Security and Fire Safety Report contains current campus safety and disciplinary policies, crime statistics for the previous 3 calendar years, and on-campus student housing fire safety policies and fire statistics for the previous 3 calendar years. UW-Madison will provide a paper copy upon request; please contact the University of Wisconsin Police Department.