AI Solutions Engineer

This is a fully remote position, open to applicants in Wisconsin.

📋 Description

• Oversee the design, deployment, operation, and ongoing enhancement of hybrid AI platforms that support and integrate AI-enabled services.

• Architect, design, and sustain secure traditional and AI infrastructures alongside automation processes.

• Develop and maintain CI/CD pipelines to streamline automation and deployment workflows.

• Implement and provide support for observability, monitoring, troubleshooting, logging, performance optimization, and operational practices.

• Establish and uphold platform standards, governance controls, and operational best practices.

• Collaborate with developers, architects, security and network teams, as well as business stakeholders on the onboarding, deployment, and operation of AI applications.

• Assess and recommend technologies to enhance platform capabilities, operational efficiency, security, and the developer experience.

• Plan, coordinate, and execute the development, testing, implementation, integration, and installation of system resources, upgrades, and security components.

• Design small components and operate, maintain, and manage technical systems and infrastructure.

• Plan and guide staff in the implementation of small to medium technical projects.

• Assist in the adoption of agentic AI solutions.

• Integrate, troubleshoot, monitor, and resolve complex issues related to supported services, systems, networks, and applications.

• Act as a point of expertise for external stakeholders and IT partners concerning system integrations.

• Evaluate vendor software releases, plan upgrades, assess impacts, and document system enhancements or modifications.

• Assist with infrastructure specifications, implementation, integration, trend analysis, and capacity planning.

⛳️ Requirements

• Proven experience in designing, developing, deploying, and supporting production software applications using Python, Go, Rust, or other modern programming languages.

• Proven experience in provisioning and supporting cloud infrastructure using AWS, Azure, or GCP.

• Familiarity with Infrastructure-as-Code tools such as Terraform.

• Proven experience in implementing CI/CD pipelines and modern DevOps practices within production environments.

• Proven experience in deploying and managing containerized applications and Kubernetes platforms.

• Proven experience in implementing monitoring, troubleshooting, logging, security, observability, and operational support practices for enterprise applications and services.

• Experience in supporting enterprise hybrid technology platforms that span cloud and on-premises environments in higher education.

• Bachelor's Degree, preferably in Computer Science, Information Technology, or a related field.

• Must have authorization to work in the United States without employer sponsorship on or before the effective date of appointment.

• Employment may necessitate a criminal background check.

• High-speed internet and phone are required for approved remote work arrangements.

• Preferred: experience with GitHub Copilot, Claude Code, or similar AI-assisted development tools.

• Preferred: experience in supporting multi-cloud platforms that host AI-enabled or data-intensive applications.

• Preferred: experience in establishing platform standards, governance controls, networks, and security practices for cloud-native applications.

🏝️ Benefits

• Generous vacation, holidays, and sick leave.

• Competitive insurance and savings account options.

• Retirement benefits.

• Flexible work arrangement options: 100% remote, partial remote, or fully on-site, subject to annual approval.

• University-provided computer.

• Opportunities for professional development.

• An inclusive, respectful, and supportive work environment.

• Family and personal life/work balance.