AI Platform Engineer

The AI Platform Engineer designs, builds, and maintains the infrastructure that powers Mortenson's AI solutions. This role ensures scalable, secure, and high-performing AI platforms, enabling rapid experimentation and reliable deployment of models. It is critical to Mortenson's 2026 priorities: AI readiness, governed delivery, and enterprise-scale adoption., Platform Architecture & Scalability

• 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.

Infrastructure Automation & CI/CD

• Build automated pipelines for model deployment and infrastructure provisioning.
• Ensure seamless integration with Mortenson's enterprise systems and Microsoft Fabric-based data mesh.

Security & Governance

• 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).

Performance Monitoring & Reliability

• Establish observability for AI workloads (metrics, logs, alerts).
• Maintain 99.9% uptime and rapid recovery for critical AI services.

Collaboration & Support

• 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., Other Items to Note
• Mortenson reserves the right to hire any individual without legal or financial obligation on unwanted solicitations. No agency emails, calls, or solicitations are accepted without a valid agreement.
• Must be currently legally authorized to work in the U.S. without sponsorship for employment visa status (e.g., H1B status, 0-1, TN, CPT, OPT, etc.). We are unable to sponsor or take over sponsorship of an employment Visa at this time.

Required:

• 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.

paid time off, tuition reimbursement, 401(k), retirement plan, * Medical and prescription drug plans that includes no additional cost vision coverage

• Dental plan
• 401k retirement plan with a generous Mortenson match
• Paid time off, holidays, and other paid leaves
• Employer paid Life, AD&D, and disability insurance
• No-Cost mental health tool and concierge with extensive work-life resources
• Tuition reimbursement
• Adoption Assistance
• Gym Membership Discount Program

The base pay range for this role is $85,300 - $128,000 and is located in MN (Actual range is higher for the following office locations: Denver, CO and Chicago, IL - 5%, Seattle, WA, and Portland, OR - 10%, Washington, D.C. - 12.5%).

Base pay is positioned within the range based on several factors including an individual's knowledge, skills, and experience, with consideration given to internal equity. This position is eligible for Mortenson's incentive plan.

As a top builder, developer, and EPC (Engineering, Procurement, and Construction), our expertise spans markets like sports, renewable energy, data centers, healthcare, and more. We are builders at heart, working to ensure the built environment has a lasting positive impact.