AI Innovation Engineer

Universities of Wisconsin•Madison, WI

1d•$90,000 - $135,000•Remote

About The Position

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 looking for a highly skilled AI Innovation Engineer who will collaborate with stakeholders and colleagues across UW-Madison campus and university partners to drive administrative AI and Automation processes to improve operation efficiency. The candidate should enjoy working independently on an agile team to design, develop and implement custom applications and work on AI initiatives. They should also have experience in using Large Language Models (LLMs) and AI agents. This position will be expected to collaborate with cross functional teams and IT colleagues to deliver quality solutions.

Requirements

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.

Nice To Haves

Strong understanding of clustering algorithms.
Experience with DevOps practices and building CI/CD pipelines
Experience in higher education or large enterprise environments
Experience with Kubernetes and container orchestration at scale

Responsibilities

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
Assist 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