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Ai Platform Engineer Jobs in Minnesota (NOW HIRING)

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 ...

M. A. Mortenson Company

AI Engineer

Minneapolis, MN · On-site

$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 ...

Mortenson

AI Engineer

Minneapolis, MN · On-site

$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 ...

M. A. Mortenson Company

AI Engineer

Minneapolis, MN · On-site

$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 ...

CSAA

Job Title Software Engineer III - AI/ML Platform Operations - Remote Requisition Number R7739 Software Engineer III - AI/ML Platform Operations - Remote (Open) Location Arizona - Home Teleworkers ...

New

Target

Principal Engineer - AI /ML Platform

Minneapolis, MN · On-site

$168K - $356K/yr

Find competitive benefits from financial and education to well-being and beyond at PRINCIPAL ENGINEER - AI PLATFORMS About Us Working at Target means helping all families discover the joy of everyday ...

Medica

Senior AI Engineer

Minnetonka, MN · On-site

$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 ...

Medica

Senior AI Engineer

Minnetonka, MN · On-site

$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 ...

Thomson Reuters U.S. Inc.

Lead Platform Engineer

Eagan, MN · On-site

$104K - $137K/yr

You'll partner closely with Product, Applied AI, and Engineering teams to accelerate the delivery ... Improve platform reliability, observability, performance, and cost efficiency through monitoring ...

THOMSON REUTERS

Lead Platform Engineer

Eagan, MN · Hybrid

$104K - $137K/yr

You'll partner closely with Product, Applied AI, and Engineering teams to accelerate the delivery ... Improve platform reliability, observability, performance, and cost efficiency through monitoring ...

Thomson Reuters

Lead Platform Engineer

Eagan, MN · On-site

$104K - $137K/yr

You'll partner closely with Product, Applied AI, and Engineering teams to accelerate the delivery ... Improve platform reliability, observability, performance, and cost efficiency through monitoring ...

THOMSON REUTERS

Senior Platform Engineer

Eagan, MN

$106K - $146K/yr

We work closely with product, applied-AI, and platform teams to ship AI-driven capabilities faster and more reliably across the business. As a Senior Platform Engineer , you will design and deliver ...

Thomson Reuters

Senior Platform Engineer

Eagan, MN · On-site

$106K - $146K/yr

We work closely with product, applied-AI, and platform teams to ship AI-driven capabilities faster and more reliably across the business. As a Senior Platform Engineer , you will design and deliver ...

Refinitiv

Senior Platform Engineer

Eagan, MN · On-site

$95 - $176/hr

We work closely with product, applied-AI, and platform teams to ship AI-driven capabilities faster and more reliably across the business. As a Senior Platform Engineer, you will design and deliver ...

New

Deloitte

AI Engineer Consultant

Minneapolis, MN · Hybrid

Position Summary Our Deloitte Human Capital team transforms technology platforms, drives innovation, and helps make a significant impact on our clients' success. We are hiring an AI Engineer to build ...

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Ai Platform Engineer information

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$32

$62

$92

How much do ai platform engineer jobs pay per hour?

As of Aug 20, 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 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 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.

How to become an AI platform engineer?

To become an AI platform engineer, you should have a strong background in computer science, software engineering, or related fields, with expertise in machine learning frameworks, cloud computing, and programming languages like Python or Java. Gaining experience with AI tools, data management, and infrastructure deployment is essential, often supported by certifications in cloud platforms such as AWS or Azure. Building a portfolio of projects and staying updated on AI and DevOps practices can also enhance your qualifications.

What does an AI platform engineer do?

An AI platform engineer designs, develops, and maintains the infrastructure and tools needed to deploy and manage artificial intelligence models at scale. They work with cloud services, programming languages, and machine learning frameworks to ensure efficient model training, deployment, and monitoring in production environments.

What is the salary of AI platform engineer?

The salary of an AI platform engineer typically ranges from $100,000 to $150,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in cloud platforms and machine learning may earn higher compensation.

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 56% Full Time, 40% Part Time, 3% Contract, and 1% Nights. Highlights an 77% Physical, 3% Hybrid, and 20% Remote job distribution, with an average salary of $130,287 per year, or $62.6 per hour.

Principal AI Platform Engineer

Datasite

Minneapolis, MN • On-site

$117.50 - $206.70/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 15 days ago

Job description

Principal AI Platform Engineer

The Principal AI Platform Engineer covers enterprise-facing software development, DevOps, deployment, observability, and security. The role includes senior escalation responsibilities and code review. Technologies used include Postgres, Kubernetes, Docker, Argo, GitHub, and continuous delivery into zero‑downtime environments. The engineer participates in the on‑call rotation providing 24/7 coverage.

Responsibilities
  • Use AI and agent workflows to build and operate the platforms the company runs on, including work that previously required a larger team.
  • Use AI as the cornerstone of all software development work including code creation, test engineering (unit and integration), performance tuning and optimization, deployment, and functional monitoring.
  • Set standards and review processes for AI‑generated code so that what ships is safe to deploy.
  • Use infrastructure‑as‑code to automate provisioning, configuration, identity, and recovery for the enterprise cloud platform.
  • Build infrastructure to house internal applications and production‑quality datasets.
  • Secure and control access using SSO via Entra permissions, groups, and app registrations.
  • Accelerate and facilitate the deployment of the vision of SME AI developed applications and workflows.
  • Own resiliency for critical systems; prevent outages where possible and shorten the ones that happen.
  • Work with architects and engineers to build security into the delivery pipeline.
  • Act as a senior escalation path.
  • Document the work, review code, and cross‑train other engineers.
  • Other duties as assigned.
Qualifications
  • Bachelor’s degree in IT or related field, or equivalent experience.
  • Operating production Linux (Ubuntu), Windows, and Mac across servers, workstations, and mobile, through scripting and automated configuration management.
  • Substantial professional experience in planning, performance, monitoring, management, and cloud computing design.
  • Hands‑on cloud experience deploying IaaS and/or PaaS systems in Azure through automation.
  • Working proficiency in several programming and scripting languages.
  • Working knowledge of CIS security best practices.
  • Experience with enterprise networks.
  • Experience reducing and eliminating technical debt.
  • Business continuity / disaster recovery practices.
  • Experience with Intune, cloud networking configuration and management, Kubernetes, Docker, and Argo for delivery.
  • Experience with Azure (NSG, subnets, express routes, firewalls, peering), AWS, and GCP.
  • Experience with Prometheus, Grafana, and Instana for observability.
  • Experience with Terraform, Bicep, and Ansible for infrastructure‑as‑code.
  • Experience with Entra and Sentinel for identity and security.
  • Experience with GitHub, JIRA, and Confluence for development workflow.
  • JAMF experience a plus.
Work Location & Flexibility

This position can be located remotely. If the candidate is based in Minneapolis or New York City, the office follows a hybrid work model. Employees in these locations are expected to work on‑site a minimum of two days per week.

Compensation & Benefits

Base salary range: $117,500.00 – $206,700.00. The compensation offer may vary based on geographic region, skills, qualifications, and experience. The position may be eligible for bonuses, commissions, or overtime if applicable. Benefits include health insurance (medical, dental, vision), a retirement savings plan, paid time off, and other employee benefits.

Equal Opportunity Employer

Our company is committed to fostering a diverse and inclusive workforce where all individuals are respected and valued. We are an equal opportunity employer and make all employment decisions without regard to race, color, religion, sex, gender identity, sexual orientation, age, national origin, disability, protected veteran status, or any other protected characteristic.

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