AI Solutions Engineer

Job not on LinkedIn

🔥 17 hours ago

🧀 Wisconsin – Remote

🧀 Wisconsin – Remote

💵 $110k - $130k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

👻 Ghost score 0%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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University of Wisconsin-Madison

WebsiteLinkedInAll Job Openings

10,000+ employees

📚 Education

🏛️ Government

Education • Government

University of Wisconsin-Madison is a public research university and flagship campus of the University of Wisconsin System located in Madison, WI. It is one of the largest research institutions in the United States, investing more than $1 billion annually in research across the humanities, sciences, and applied fields, and emphasizes public service through the long-standing “Wisconsin Idea. ” The university offers undergraduate and graduate programs, community outreach, and extensive campus resources and athletics, while promoting diversity, inclusive excellence, and community engagement.

📋 Description

• 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

• 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

• 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

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