AI Platform Engineer

Job summary

The AI Platform Engineer is tasked with building and maintaining the environments for AI solutions, focusing on data pipelines and CI/CD processes. Key responsibilities include designing hosting and networking environments, implementing access control, and monitoring deployed workloads, utilizing technologies such as Microsoft Fabric, Azure, and CI/CD tools like GitHub Actions.

Qualifications

• Bachelor's degree in computer science, information systems, or equivalent experience.
• Minimum 5+ years in platform, DevOps, data, or infrastructure engineering.
• Hands-on Azure experience in identity, networking, and application hosting.
• Production CI/CD experience with GitHub Actions or Azure DevOps.
• Strong SQL skills, plus Python or PowerShell for automation.
• Experience building and operating critical data pipelines.
• Practical experience with AI coding agents in controlled workflows.
• Ability to write clear standards for engineering practices.
• Desire to grow as an AI-assisted engineer.

Responsibilities

• Design and operate environments for applications, dashboards, and AI agents.
• Build and maintain data pipelines between Microsoft Fabric and systems of record.
• Own CI/CD for internally built software, including repositories and automated tests.
• Define and enforce guardrails for AI-assisted development.
• Implement access control and manage audit trails.
• Run the toolchain for coding agents and shared libraries.
• Create repeatable deployment patterns using infrastructure as code.
• Monitor cost, performance, and reliability of workloads.
• Collaborate with IT on network and identity decisions.

Skills

Degrees

Relocation