AI Platform Engineer

Responsibilities

• Design and implement AI platform architecture that supports model training, deployment, and monitoring at scale.
• Optimize compute, storage, and networking for performance and cost efficiency.
• Build automated pipelines for model deployment and infrastructure provisioning.
• Ensure seamless integration with Mortenson’s enterprise systems and Microsoft Fabric-based data mesh.
• Implement security best practices for AI platforms, including identity management, encryption, and compliance monitoring.
• Ensure adherence to Mortenson’s AI governance standards (privacy, security, ethical use).
• Establish observability for AI workloads (metrics, logs, alerts).
• Maintain 99.9% uptime and rapid recovery for critical AI services.
• Partner with AI Engineers, Cloud Engineers, Data Scientists, and Operations teams to enable efficient workflows.
• Provide technical documentation and guidance for platform usage and best practices.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field
• 3+ years in platform engineering, DevOps, and/or AI/ML infrastructure roles
• Hands-on experience with cloud platforms (Azure preferred), containerization (Docker/Kubernetes), and CI/CD tools
• Strong understanding of MLOps practices and distributed systems
• Preferred experience in AEC/construction technology environments
• Familiarity with Microsoft Fabric and enterprise data integration
• Knowledge of AI governance frameworks and security best practices