[Remote] AI Solutions Engineer

Note: The job is a remote job and is open to candidates in USA. The University of Wisconsin–Madison is seeking an AI Solutions Engineer to design, operate, and improve secure cloud and hybrid platforms supporting AI-enabled services. The role advances infrastructure, automation, security, and operational governance for administrative AI initiatives, while partnering with technical teams and stakeholders to deliver reliable solutions.

Responsibilities

• 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, automation, CI/CD pipelines for automation and deployment processes that enable reliable and scalable service delivery
• Implement and support observability, monitoring, troubleshooting, logging, performance optimization, and operational practices that ensure platform reliability, security, and availability
• Establish and maintain platform standards, governance controls, and operational best practices for hosted applications and services
• Collaborate with developers, architects, security and network teams, and business stakeholders to support onboarding, deployment, and operation of AI applications on the Cloud AI platform
• Evaluate and recommend technologies that improve platform capabilities, operational efficiency, security, and developer experience
• Plans, coordinates, and executes the development, testing, implementation, integration, and installation of moderately complex system resources, upgrades, and security components in alignment with industry best practices
• 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 according to established processes and procedures
• Serves as an expert point of contact for external stakeholders and IT partners regarding system integrations, identifies needs, provides solution options, and communicates issue updates and resolutions
• Participates in the evaluation of vendor software releases, upgrade planning, and impact. Documents and communicates system enhancements or changes
• Assists in the design of system and infrastructure specifications, implementation, and/or integration, trend analysis, and capacity planning

Skills

• 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 and 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 need of employer sponsorship, on or before the effective date of appointment
• Experience using AI-assisted development tools such as GitHub Copilot, Claude Code, or similar technologies within professional software engineering workflows
• Experience supporting multi-cloud platforms that host AI-enabled or data-intensive applications
• 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
• Eligible for 100% remote work, partial remote work, or fully on-site, subject to an approved flexible work arrangement reviewed and approved annually; remote work requires the employee to have their own high-speed internet and phone and use a university-provided computer.

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