AI Platform Engineer - Hybrid Cloud & Automation

Universities of Wisconsin; Oregon; Hybrid; USD 110,000 - 130,000; Full time

Job summary

University of Wisconsin–Madison is seeking an AI Solutions Engineer III to design, build, operate, and improve hybrid cloud AI platforms. You will manage multi‑cloud infrastructure, automation, security, observability, and governance to support AI-enabled services for UW‑Madison and affiliates.

The role collaborates with software engineers, architects, and stakeholders to enable enterprise AI deployments, establish platform standards, and advance emerging technologies across the university.

Qualifications

• Experience designing, developing, deploying, and supporting production software using Python, Go, Rust, or similar.
• Experience provisioning and supporting cloud infrastructure with AWS/Azure/GCP and Infrastructure-as-Code tools such as Terraform.
• Experience implementing CI/CD pipelines and modern DevOps practices in production environments.
• Experience deploying and operating containerized applications and Kubernetes platforms.
• Experience implementing monitoring, troubleshooting, logging, securing, observability, and operational support practices for enterprise applications.
• Experience supporting enterprise hybrid technology platforms spanning cloud and on‑premises environments in higher education.

Responsibilities

• Plans, coordinates, and executes development, testing, implementation, integration, and installation of moderately complex system resources, upgrades, and security components.
• 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.
• Serves as an expert point of contact for external stakeholders and IT partners regarding system integrations and communicates updates/resolutions.

Skills

Python/Go/Rust

Terraform

Kubernetes

CI/CD

Education

Bachelor's Degree in CS or related field

Tools

AWS

Azure

GCP

Job description

University of Wisconsin–Madison is seeking an AI Solutions Engineer III to design, build, operate, and improve hybrid cloud AI platforms. You will manage multi‑cloud infrastructure, automation, security, observability, and governance to support AI-enabled services for UW‑Madison and affiliates.

The role collaborates with software engineers, architects, and stakeholders to enable enterprise AI deployments, establish platform standards, and advance emerging technologies across the university.