AI Solutions Engineer

University of Wisconsin-Madison

. Lead the design, deployment, operation, and continuous improvement of hybrid AI platforms supporting and integrating AI-enabled services .

Posted 11/3/2026full-timeRemote • Wisconsin • United StatesMid-LevelSenior💰 $110,000 - $130,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing, deploying, and maintaining hybrid AI platforms, with a strong focus on cloud infrastructure, CI/CD pipelines, and operational best practices. Proficient in modern programming languages and tools to enhance platform capabilities and support enterprise applications.

Highest-signal resume keywords

Python ProgrammingAWS Cloud InfrastructureCI/CD Pipeline ImplementationKubernetes DeploymentInfrastructure-as-Code (Terraform)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Go ProgrammingRust ProgrammingCloud Infrastructure SupportMonitoring and TroubleshootingObservability PracticesContainerized ApplicationsDevOps PracticesSystem IntegrationCapacity PlanningTechnical Project Management

Soft Skills

CollaborationCommunicationProblem-SolvingLeadership

Tools & Technologies

TerraformGitHub CopilotClaude CodeMulti-Cloud PlatformsAI-Enabled Services

Industry Keywords

Hybrid Technology PlatformsCloud-Native ApplicationsGovernance ControlsOperational Best PracticesHigher Education

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformKubernetesPythonRustTerraformGo

About the role

Key responsibilities & impact

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
Build and maintain CI/CD pipelines for automation and deployment processes
Implement and support observability, monitoring, troubleshooting, logging, performance optimization, and operational practices
Establish and maintain platform standards, governance controls, and operational best practices
Collaborate with developers, architects, security and network teams, and business stakeholders on AI application onboarding, deployment, and operation
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 system resources, upgrades, and security components
Design small components and operate, maintain, and run technical systems and infrastructure
Plan and direct staff implementation of small to medium technical projects
Assist in adoption of agentic AI solutions
Integrate, troubleshoot, monitor, and resolve complex supported services, systems, network, and application problems
Serve as an expert point of contact for external stakeholders and IT partners regarding system integrations
Evaluate vendor software releases, plan upgrades, assess impacts, and document system enhancements or changes
Assist with infrastructure specifications, implementation, integration, trend analysis, and capacity planning

Requirements

What you’ll need

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
Experience with 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
Bachelor's Degree preferably in Computer Science, Information Technology, or related field
Must be authorized to work in the United States without employer sponsorship on or before the effective date of appointment
Employment may require a criminal background check
Own high-speed internet and phone required for approved remote work arrangements
Preferred: experience with GitHub Copilot, Claude Code, or similar AI-assisted development tools
Preferred: experience supporting multi-cloud platforms hosting AI-enabled or data-intensive applications
Preferred: experience establishing platform standards, governance controls, networks, and security practices for cloud-native applications

Benefits

Comp & perks

Generous vacation, holidays, and sick leave
Competitive insurances and savings accounts
Retirement benefits
Flexible work arrangement options: 100% remote, partial remote, or fully on-site, subject to annual approval
University-provided computer
Professional development opportunities
Inclusive, respectful, and supportive work environment
Family and personal life/work balance