The AI Platform Engineer designs, builds, and maintains the infrastructure that powers Mortenson’s AI solutions, ensuring scalable, secure, and high-performing AI platforms to enable rapid experimentation and reliable deployment of models, which is critical to Mortenson’s 2026 priorities: AI readiness, governed delivery, and enterprise-scale adoption.
Requirements
- 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.
- Familiarity with Microsoft Fabric and enterprise data integration.
- Knowledge of AI governance frameworks and security best practices.
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).
Other
- Bachelor’s degree in Computer Science, Engineering, or related field
- Experience in AEC/construction technology environments.
- Must be currently legally authorized to work in the U.S. without sponsorship for employment visa status
- Visa sponsorship is not offered for this position.
