Azure AI Deployment Engineer — Cloud Infra for AI

Fairview Health Services; Minneapolis (MN); On-site; USD 109,000 - 155,000; Full time

Benefits offered by this job

Medical coverage

Dental coverage

Vision coverage

PTO and Sick Time

Tuition reimbursement

Job summary

Fairview Health Services is seeking an Cloud & AI Deployment Engineer to design, implement, and support Azure infrastructure for AI/ML solutions. You’ll collaborate with DevOps, Security, and AI teams to deliver secure, repeatable environments and patterns, extending to AWS or hybrid-cloud when needed.

The role emphasizes infrastructure as code, governance, FinOps tagging, and production readiness with cross-team ownership and documented support processes.

Qualifications

• Degree or equivalent experience in computer science or related field.
• Hands-on Azure cloud engineering in an enterprise environment.
• Experience with infrastructure-as-code and reusable deployment configurations.
• Knowledge of cloud-governance and FinOps tagging practices.

Responsibilities

• Design, implement, and maintain Azure infrastructure for AI/ML solutions.
• Build and maintain IaC and deployment configurations with CI/CD processes.
• Develop AI cloud guardrails, reusable patterns, and guidelines with enterprise teams.
• Apply tagging and governance to support cost visibility and resource use.
• Coordinate security requirements and access controls for cloud resources.
• Document configurations, monitoring, and recovery steps for production readiness.

Skills

Azure cloud engineering

DevOps collaboration

Cloud governance

Security best practices

MLOps liaison

Education

B.S./B.A. in Computer Science or related field

Equivalent education/experience

Tools

GitHub

Azure DevOps

CI/CD pipelines

Job description

Fairview Health Services is seeking an Cloud & AI Deployment Engineer to design, implement, and support Azure infrastructure for AI/ML solutions. You’ll collaborate with DevOps, Security, and AI teams to deliver secure, repeatable environments and patterns, extending to AWS or hybrid-cloud when needed.

The role emphasizes infrastructure as code, governance, FinOps tagging, and production readiness with cross-team ownership and documented support processes.