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Ai Platform Engineer Jobs in Minnesota (NOW HIRING)

Mortenson

AI Platform Engineer

Minneapolis, MN · On-site

The AI Platform Engineer will design, build, and maintain the infrastructure for AI solutions, ensuring scalable and secure platforms for model deployment and experimentation. Responsibilities : • ...

Mortenson

AI Platform Engineer

Minneapolis, MN

$85K - $128K/yr

AI Platform Engineer SUMMARY The AI Platform Engineer designs, builds, and maintains the infrastructure that powers Mortenson's AI solutions. This role ensures scalable, secure, and high-performing ...

HHAeXchange

Platform Engineer

Minneapolis, MN · Remote

The engineer will own the reliability and deployment lifecycle of that infrastructure, working ... As our AI platform matures and internal tooling expands, this role becomes the connective tissue ...

Datasite

Principal AI Platform Engineer

Minneapolis, MN · On-site

$117.50 - $206.70/hr

Principal AI Platform Engineer The Principal AI Platform Engineer covers enterprise-facing software development, DevOps, deployment, observability, and security. The role includes senior escalation ...

New

US Bank

Lead AI Platform Engineer

Hopkins, MN · On-site

$104K - $137K/yr

Establish logging, evaluation, and feedback mechanisms for production AI systems 3. Cloud, Platform & Scalability Engineering * Architect and deploy GenAI applications across cloud environments ...

US Bank

Lead AI Platform Engineer

Minneapolis, MN · On-site

$107K - $140K/yr

Establish logging, evaluation, and feedback mechanisms for production AI systems 3. Cloud, Platform & Scalability Engineering * Architect and deploy GenAI applications across cloud environments ...

US Bank

Senior AI Platform Engineer

Minneapolis, MN · On-site

$57.75 - $74.25/hr

... Platform & Scalability Engineering * Develop and deploy GenAI systems across cloud platforms (Azure and AWS) * Contribute to distributed system design for scalable AI workloads * Utilize modern ...

US Bank

Senior AI Platform Engineer

Hopkins, MN · On-site

$56 - $72.25/hr

... Platform & Scalability Engineering * Develop and deploy GenAI systems across cloud platforms (Azure and AWS) * Contribute to distributed system design for scalable AI workloads * Utilize modern ...

US Bank

Head of AI Platform Engineering

Minneapolis, MN

$187K - $242K/yr

The Head of AI Platform Engineering will spearhead the bank's enterprise-wide AI technology strategy implementation, driving innovation, operational efficiency, and customer-centric transformation ...

Securian Financial

AI Engineer (Hybrid)

Saint Paul, MN · Hybrid

$115K - $139K/yr

The Senior AI Engineer is a key member ofSecurianFinancials' Enterprise Data and Analytics team ... In this role, you will shape, evaluate, and advance the platforms, tools, architectures, and ...

Imedica

Senior AI Engineer

Minnetonka, MN

$113K - $194K/yr

Medica is seeking a hands-on Senior AI Platform Engineer to help build and scale our next-generation AI agents and infrastructure. You'll work on complex systems that power AI-driven healthcare ...

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Ai Platform Engineer information

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How much do ai platform engineer jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for ai platform engineer in Minnesota is $62.64, according to ZipRecruiter salary data. Most workers in this role earn between $49.42 and $72.26 per hour, depending on experience, location, and employer.

What is an AI Platform Engineer?

AI Platform Engineers are technology professionals who design, build, and maintain the infrastructure that supports the development, deployment, and scaling of artificial intelligence (AI) and machine learning (ML) models. They work closely with data scientists and software engineers to ensure that AI solutions can run efficiently and securely in production environments. Their responsibilities often include managing cloud or on-premises platforms, automating workflows, and implementing best practices for model versioning, monitoring, and resource optimization.

How does an AI Platform Engineer typically collaborate with data scientists and software engineers in a project environment?

AI Platform Engineers often serve as a bridge between data scientists and software engineers, ensuring that machine learning models are seamlessly integrated into scalable, production-ready systems. They work closely with data scientists to understand model requirements and deployment needs, and with software engineers to embed these models within applications and services. This collaboration involves frequent communication, joint troubleshooting, and participation in code reviews to maintain a robust and efficient AI infrastructure.

What is the difference between Ai Platform Engineer vs Data Engineer?

AspectAi Platform EngineerData Engineer
CredentialsBachelor's in CS, AI, or related; experience with cloud platformsBachelor's in CS, Data Science, or related; experience with databases and ETL tools
Work EnvironmentDeveloping AI infrastructure, deploying ML models, working with cloud servicesBuilding data pipelines, managing data storage, ensuring data quality
Industry UsageTech companies, AI startups, cloud providersFinance, healthcare, e-commerce, any data-driven industry

While both roles involve working with data and cloud platforms, Ai Platform Engineers focus on building and maintaining AI infrastructure and deploying machine learning models. Data Engineers primarily develop data pipelines and manage data storage. The roles often collaborate but serve different core functions within AI and data ecosystems.

What are the key skills and qualifications needed to thrive as an AI Platform Engineer, and why are they important?

To thrive as an AI Platform Engineer, you need strong programming skills (especially in Python and Java), a background in computer science or related fields, and experience with machine learning frameworks. Familiarity with cloud platforms (like AWS, Azure, or GCP), containerization tools (Docker, Kubernetes), and CI/CD systems is typically required, along with certifications such as Google Cloud Professional Machine Learning Engineer. Excellent problem-solving, collaboration, and communication skills help you integrate AI solutions across teams and projects. These competencies ensure the efficient development, deployment, and maintenance of scalable AI systems in dynamic production environments.
What are popular job titles related to Ai Platform Engineer jobs in Minnesota? For Ai Platform Engineer jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Ai Platform Engineer jobs in Minnesota look for? The top searched job categories for Ai Platform Engineer jobs in Minnesota are:
What cities in Minnesota are hiring for Ai Platform Engineer jobs? Cities in Minnesota with the most Ai Platform Engineer job openings:
Ai Platform Engineer jobs near you
Infographic showing various Ai Platform Engineer job openings in Minnesota as of August 2026, with employment types broken down into 50% Full Time, 47% Part Time, and 3% Contract. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution, with an average salary of $130,287 per year, or $62.6 per hour.

AI Platform Engineer

Mortenson

Minneapolis, MN • On-site

Full-time

Re-posted 16 days ago

Mortenson rating

8.4

Company rating: 8.4 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

Job description

Job Summary:
Mortenson is a leading builder, developer, and EPC company specializing in various markets. The AI Platform Engineer will design, build, and maintain the infrastructure for AI solutions, ensuring scalable and secure platforms for model deployment and experimentation.
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:
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.
Company:
Mortenson is a U.S.-based, top-25 builder, developer and provider of energy and engineering services committed to helping organizations move their strategies forward. Founded in 1954, the company is headquartered in Minneapolis, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

What Mortenson employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

M. A. Mortenson logo

About M. A. Mortenson

Sourced by ZipRecruiter

M. A. Mortenson is a prominent name in the construction industry, based out of Minneapolis, MN, US. Established in 1954 by M.A. Mortenson Sr., the company has over six decades of experience offering construction services that have contributed to building lasting infrastructures across various sectors, including healthcare, energy, corporate, and sports. Mortenson has proven its exceptional expertise through a range of complex building and facility projects across the US fulfilling the customer's specifications and exceeding their expectations. Moreover, the company's core values are outlined as ‘Do the Right Thing’, ‘We Before I’, ‘Inspire What’s Possible’, and ‘In it for the long haul’.

Industry

Manufacturing and construction

Company size

1,001 - 5,000 Employees

Headquarters location

Minneapolis, MN, US

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