Edtech.com's Summary

University of Wisconsin - Madison is hiring an AI Solutions Engineer to design, build, and run the cloud and hybrid platforms behind its AI-enabled services. The role sits on the Integrated Business Solutions team in the university’s Division of Information Technology and works with software engineers, architects, and business partners to support administrative AI and automation projects that improve organizational efficiency. It involves managing multi-cloud infrastructure, security, observability, and governance so development teams can deploy reliable, scalable solutions.

Highlights

Lead the design, deployment, operation, and continuous improvement of the hybrid AI platforms that support and integrate AI-enabled services.
Architect and maintain secure traditional and AI infrastructure, including the automation and CI/CD pipelines that make deployment reliable and scalable.
Implement monitoring, logging, observability, and troubleshooting practices that keep the platform reliable, secure, and available.
Establish platform standards, governance controls, and operational best practices for hosted applications, and recommend technologies that improve efficiency and developer experience.
Work with developers, architects, security and network teams, and business stakeholders to onboard and operate AI applications on the Cloud AI platform, and help the university adopt agentic AI solutions.
Serve as the expert contact for external stakeholders and IT partners on system integrations, and take part in vendor software release evaluation, upgrade planning, and capacity planning.
Demonstrated experience building production software in Python, Go, Rust, or a similar language, and provisioning cloud infrastructure on AWS, Azure, or GCP with Infrastructure-as-Code tools such as Terraform.
Hands-on experience with CI/CD pipelines, DevOps practices, containerized applications, and Kubernetes platforms, plus supporting hybrid cloud and on-premises environments in higher education.
Preferred experience with AI-assisted development tools such as GitHub Copilot or Claude Code, multi-cloud platforms hosting AI-enabled applications, and cloud-native governance and security practices.
Salary range of $110,000 to $130,000, with 100% remote, partial remote, or on-site work possible under an approved flexible work arrangement.

AI Solutions Engineer Full Description

Job Summary

The Integrated Business Solutions team within the Division of Information Technology (DoIT) 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.

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 solutions.

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.

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

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.

The University of Wisconsin-Madison is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to, including but not limited to, race, color, religion, sex, sexual orientation, national origin, age, pregnancy, disability, or status as a protected veteran and other bases as defined by federal regulations and UW System policies.

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