AI Innovation Engineer

University of Wisconsin-Madison

AI Innovation Engineer collaborating with stakeholders to design and implement AI solutions. Focusing on improving operational efficiency in a university environment while leading application development.

Posted 6/27/2026full-timeMadison • Wisconsin • 🇺🇸 United StatesMid-LevelSenior💰 $90,000 - $135,000 per yearWebsite

Tech Stack

Tools & technologies

AWSCloudCyber SecurityGoogle Cloud PlatformJavaScriptPythonTerraform

About the role

Key responsibilities & impact

Developing cloud-based workflow and interactive AI solutions.
Testing and validating AI agents to ensure accuracy and reliability.
Assisting in the management of a cloud-based application platform including utilization, observability and security functions.
Understanding of data strategy, cybersecurity and risk practices.
Using AI coding tools to build features more rapidly while making sure the code is secure, reliable, and fits our platform.
Leads sub-functional team for application development or enhancement.
Prepares program documentation and training requirements.
Develops, prepares, or modifies technical specifications for complex projects, system integrations, and upgrades.
Designs and implements test plans, and prepares systems test data.
Conducts analysis for the evaluation and selection of vendor software solutions and packages.
Reviews application design specifications, codes new applications, and makes enhancements to existing applications.
Assists in the adoption of agentic AI solutions.
Maintains cloud hosted infrastructure and integrations.
Reviews application modules for quality assurance and checks compliance with application architecture standards.
Trains and provides technical guidance to lower level staff.
Conducts systems analysis, reviews and interprets system requirements, and develops detailed system design specifications for system integration and upgrades.
Contributes to the development of data structure and systems performance strategies.

Requirements

What you’ll need

Software development experience (preferred 5 years)
including AI engineering (preferred 1 year)
Advanced programming experience in JavaScript/TypeSript or Python (preferred 2 years)
Proven experience designing and implementing agentic AI Workflows and applications
Hands-on experience with AI-assisted development tools (Claude Code, Github Copilot or Gemini Code Assist)
Experience with managing applications in public cloud platforms (AWS or GCP)
Demonstrated experience with Infrastructure as Code tools such as Terraform or OpenTofu.

Benefits

Comp & perks

generous vacation, holidays, and sick leave
competitive insurances and savings accounts
retirement benefits

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

software developmentAI engineeringJavaScriptTypeScriptPythonagentic AI workflowsInfrastructure as CodeTerraformOpenTofu

Soft Skills

leadershiptechnical guidancecommunication