AI Platform Engineer – Scale, Security & Automation

Mortenson; Minnesota; On-site; USD 85,000 - 128,000; Full time

Benefits offered by this job

Medical and prescription drug plans

Dental plan

401k retirement plan with generousMort

Paid time off and holidays

Life, AD&D, disability insurance

Mental health resources

Tuition reimbursement

Adoption Assistance

Gym Membership Discount Program

Job summary

Mortenson is seeking an AI Platform Engineer to design, build, and maintain the infrastructure powering our AI solutions in a scalable, secure, and high-performance environment. You will enable rapid experimentation and reliable deployment across enterprise-scale AI initiatives, aligning with Mortenson’s 2026 priorities and governance standards.

The role focuses on platform architecture, automation, and collaboration with cross-functional teams to deliver robust AI platforms and observability at

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related discipline or equivalent experience.
• 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.
• Experience in AEC/construction technology environments.
• 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).
• 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.

Skills

Platform engineering

DevOps

AI/ML infrastructure

Distributed systems

MLOps practices

Education

Bachelor’s degree in Computer Science, Engineering, or related discipline

Tools

Azure

Docker

Kubernetes

CI/CD tools

Job description

Mortenson is seeking an AI Platform Engineer to design, build, and maintain the infrastructure powering our AI solutions in a scalable, secure, and high-performance environment. You will enable rapid experimentation and reliable deployment across enterprise-scale AI initiatives, aligning with Mortenson’s 2026 priorities and governance standards.

The role focuses on platform architecture, automation, and collaboration with cross-functional teams to deliver robust AI platforms and observability at