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Ai Deployment Engineer Jobs in Michigan (NOW HIRING)

Lead Gen AI Engineer

Detroit, MI · On-site

$93K - $123K/yr

Lead Generative AI & Agent Engineer Long-term contract Location: Northville, MI (hybrid onsite) Key ... Strong knowledge of AI deployment, monitoring, security, and governance * Ability to produce ...

... deployment and monitoring of AI systems * Document system architecture, models, and development processes Required Qualifications * Bachelor's degree in Computer Science, Software Engineering ...

... AI deployment stands on. You own the internal AI platform that raises the capability floor across the organization. If you want to build foundational AI infrastructure at a company where the data is ...

... AI deployment stands on. You own the internal AI platform that raises the capability floor across the organization. If you want to build foundational AI infrastructure at a company where the data is ...

... AI deployment stands on. You own the internal AI platform that raises the capability floor across the organization. If you want to build foundational AI infrastructure at a company where the data is ...

AI Solutions Architect

Auburn Hills, MI · On-site

$59.50 - $78.50/hr

Propose continuous improvement ideas in business efficiency, engineering performance, manufacturing excellence, and cost reduction through practical AI deployment. Commitment to the highest ethical ...

AI Solutions Architect

Auburn Hills, MI · On-site

$59.50 - $78.50/hr

Propose continuous improvement ideas in business efficiency, engineering performance, manufacturing excellence, and cost reduction through practical AI deployment. Commitment to the highest ethical ...

Act as the connective tissue between application software, AI research, system integration, product management, safety, and release engineering. * Contribute to the evolution of our global deployment ...

... deployment using AWS services such as Lambda, DynamoDB, OpenSearch, Neptune, Bedrock, SageMaker ... engineering, data science, AI engineering, or machine learning engineering is required. 3. ...

The AI Engineer is responsible for building, deploying, and maintaining AI-powered applications and ... Experience with containerization and deployment tooling (e.g., Docker, Azure App Service or ...

The AI Engineer is responsible for building, deploying, and maintaining AI-powered applications and ... Experience with containerization and deployment tooling (e.g., Docker, Azure App Service or ...

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Showing results 1-20

Ai Deployment Engineer information

See Michigan salary details

$30.9K

$95.5K

$148.2K

How much do ai deployment engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for ai deployment engineer in Michigan is $95,492.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,200.00 and $120,700.00 per year, depending on experience, location, and employer.

What does an AI deployment engineer do?

An AI deployment engineer is responsible for integrating, configuring, and maintaining AI models and systems in production environments. They work with machine learning frameworks, optimize models for performance, and ensure reliable operation of AI solutions. Skills in programming, cloud platforms, and model monitoring are essential for this role.

What cities in Michigan are hiring for Ai Deployment Engineer jobs?

Cities in Michigan with the most Ai Deployment Engineer job openings:

Infographic showing various Ai Deployment Engineer job openings in Michigan as of August 2026, with employment types broken down into 70% Full Time, 28% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $95,492 per year, or $45.9 per hour.

Lead Gen AI Engineer

Detroit, MI • On-site

Reliable Software Resources
1 - 5K employees

$93K - $123K/yr

Other

Re-posted 2 days ago


Job description

Lead Generative AI & Agent Engineer

Long-term contract

Location: Northville, MI (hybrid onsite)

Key Requirements

  • Proven experience delivering multiple production-grade AI solutions
  • Deep expertise in RAG, LLM-powered chatbots, document extraction, and custom AI agents
  • Experience designing document review, scoring, and decision-support workflows
  • Strong knowledge of AI deployment, monitoring, security, and governance
  • Ability to produce traceable, explainable, and auditable AI outputs
  • Excellent communication skills
  • Ability to train and transfer knowledge to client team members