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Ai Infrastructure Jobs in Michigan (NOW HIRING)

Bright Vision Technologies

AI Security Engineer

Troy, MI · Remote

$80K - $105K/yr

AI Security Engineer - Remote Bright Vision Technologies is a technology consulting and software ... Strong understanding of cloud security and modern infrastructure controls. * Excellent written and ...

Beacon Specialized Living

AI/RPA Engineer

Kalamazoo, MI · On-site

$175K - $200K/yr

This role will be responsible for developing secure, compliant AI infrastructure and reusable frameworks that enable internal teams and external consultants to build and deploy AI agents for ...

Stellantis

Principal AI Engineer

Auburn Hills, MI · On-site

Stay current with advances in LLMs, agent frameworks, AI infrastructure, and applied research-and translate them into pragmatic solutions. Basic Qualifications: * Bachelor's degree in AI, Machine ...

Deloitte

Senior AI Engineer - SFL Scientific

Detroit, MI · On-site

$103K - $142K/yr

Adopt best engineering practices in automation, HPC and AI/GenAI infrastructure and design patterns * Define and lead technology proof of concepts to ensure feasibility of new data and cloud ...

Kla

Forward Deployed Engineer

Ann Arbor, MI

If you want to build foundational AI infrastructure at a company where the data is proprietary, the problems are hard, and the impact is measurable - this is the role. This role sits at the ...

Orbotech

Forward Deployed Engineer

Ann Arbor, MI · On-site

If you want to build foundational AI infrastructure at a company where the data is proprietary, the problems are hard, and the impact is measurable - this is the role. This role sits at the ...

Stellantis

Principal AI Engineer

Auburn Hills, MI

Stay current with advances in LLMs, agent frameworks, AI infrastructure, and applied research--and translate them into pragmatic solutions. Basic Qualifications: * Bachelor's degree in AI, Machine ...

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$24

$51

$76

How much do ai infrastructure jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for ai infrastructure in Michigan is $51.58, according to ZipRecruiter salary data. Most workers in this role earn between $41.92 and $60.14 per hour, depending on experience, location, and employer.

What is the difference between Ai Infrastructure vs Data Engineer?

AspectAi InfrastructureData Engineer
Required CredentialsBachelor's in CS, Engineering, or related; knowledge of cloud platforms and AI toolsBachelor's in CS, Data Science, or related; programming and database skills
Work EnvironmentCloud environments, AI model deployment, infrastructure setupData pipelines, database management, data processing
Employer & Industry UsageTech companies, AI startups, cloud providersTech firms, finance, healthcare, e-commerce

Ai Infrastructure professionals focus on building and maintaining the hardware and software systems that support AI models, while Data Engineers develop and manage data pipelines and databases. Both roles require technical skills and often collaborate but serve different core functions within AI and data ecosystems.

How much do AI infrastructure engineers make?

AI infrastructure engineers typically earn between $100,000 and $150,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in cloud platforms and hardware may earn higher salaries, often exceeding $180,000.

What are AI infrastructure jobs?

AI infrastructure jobs involve designing, building, and maintaining the hardware, software, and network systems necessary to support artificial intelligence applications. These roles often require knowledge of cloud computing, data centers, machine learning frameworks, and system optimization to ensure reliable and efficient AI model deployment and operation.

What are the key skills and qualifications needed to thrive in AI infrastructure?

To thrive in AI Infrastructure, you need expertise in software engineering, distributed systems, cloud platforms, and a solid understanding of machine learning workflows, often supported by degrees in computer science or related fields. Familiarity with tools like Kubernetes, Docker, Terraform, and cloud services (AWS, GCP, Azure), as well as experience with CI/CD pipelines and monitoring systems, is essential. Strong problem-solving abilities, effective communication, and adaptability help professionals excel in cross-functional teams and rapidly evolving environments. These skills and qualities are crucial for building scalable, reliable systems that power AI applications and support organizational innovation.

What are common challenges faced by professionals working in AI infrastructure roles, and how can they be addressed?

Professionals in AI Infrastructure roles often encounter challenges related to scalability, system reliability, and integration with existing IT environments. Managing rapidly growing datasets and ensuring seamless deployment of machine learning models can be complex, requiring robust automation and monitoring tools. Collaboration with data scientists, software engineers, and DevOps teams is critical to ensure infrastructure meets the evolving needs of AI projects. Staying updated with the latest cloud technologies and best practices can help address these challenges and drive successful AI implementations.

What is AI infrastructure?

AI infrastructure refers to the combination of hardware, software, and cloud-based solutions that support the development, deployment, and scaling of artificial intelligence applications. It includes components such as GPUs, CPUs, storage systems, networking, data management tools, and machine learning frameworks. The goal of AI infrastructure is to provide the computational power and resources needed to train, test, and run AI models efficiently, whether on-premises or in the cloud. Organizations invest in robust AI infrastructure to accelerate innovation, manage large datasets, and ensure the reliability of their AI systems.
What are popular job titles related to Ai Infrastructure jobs in Michigan? For Ai Infrastructure jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Ai Infrastructure jobs in Michigan look for? The top searched job categories for Ai Infrastructure jobs in Michigan are:
What cities in Michigan are hiring for Ai Infrastructure jobs? Cities in Michigan with the most Ai Infrastructure job openings:
Ai Infrastructure jobs near you
Infographic showing various Ai Infrastructure job openings in Michigan as of August 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $107,296 per year, or $51.6 per hour.

Strategic OCI & AI Infrastructure Lead

Ll Oefentherapie

Lansing, MI • On-site

$200 - $300/hr

Other

Posted 4 days ago

Job description

Organization Overview

Oracle Cloud Infrastructure (OCI) is accelerating global growth through advanced AI infrastructure and strategic customer engagement. The Global AI Infrastructure & Strategic Pursuits organization owns all OCI sales globally and leads high-impact OCI initiatives across regions, partnering with executive leadership, engineering, and field teams to deliver complex, large-scale opportunities.

Role Overview

Oracle is seeking a senior leader to serve as a Strategic OCI & AI Infrastructure Lead within the Global AI Infrastructure & Strategic Pursuits organization. This role is not a traditional account role. This role requires deep technical and commercial skills, enabling complex customer engagements.

This Lead will operate at the intersection of hyperscale AI infrastructure, complex customer environments, and high-stakes commercial outcomes. This includes owning and scaling some of the most demanding AI and cloud deployments globally, across enterprise, high-growth startups, strategic AI installations, or international markets (Europe, Middle East, APAC, and Latin America). This role requires equal comfortability discussing GPU cluster architecture and leading multi-million-dollar Cloud commercial negotiations.

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