ZipRecruiter

Log In

1

Gen Ai Engineer Jobs in Michigan (NOW HIRING)

Reliable Software Resources

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 Requirements * Proven experience delivering multiple production-grade AI solutions * Deep expertise ...

Deloitte

Oracle Gen AI Manager

Detroit, MI

Identify high-value AI use cases and guide teams on prompt engineering, model selection, and model ... Work you'll do As an Oracle Gen AI Architect Manager on the Oracle team, you will translate ...

Magna

Robotics AI Algorithm- R&D Summer 2026

Troy, MI · On-site

... Engineering and R&D department. The Advanced Robotics team is focused on developing novel ... models, Gen-AI). • Create representative case study to understand solution capabilities and ...

FastTek

Software Engineer

Dearborn, MI · On-site

Software Engineer #1061556 * Employees in this job function are responsible for designing ... Experience leveraging Gen AI to accelerate cloud-native modernization efforts (e.g., AI-assisted ...

Hillsdale College

Network Engineer

Hillsdale, MI · On-site

Implement, monitor, and manage next-gen firewalls, routers, switches, and wireless access points ... AI-driven optimization and analytics) is highly preferred as the College migrates to this ...

Munich Re

Data Scientist

Ann Arbor, MI · On-site +1

... Gen AI models. You will test models to ensure efficacy and compliance before deployment, work hand-in-hand with ML Engineers to deploy models and verify system performance, and monitor models post ...

next page

Showing results 1-20

All JobsGen Ai Engineer JobsGen Ai Engineer Jobs in Michigan

Gen Ai Engineer information

See Michigan salary details

$51.9K

$97.3K

$176.9K

How much do gen ai engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for gen ai engineer in Michigan is $97,298.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,200.00 and $115,500.00 per year, depending on experience, location, and employer.

What is a Gen AI engineer?

Gen AI Engineers are professionals who design, develop, and deploy generative artificial intelligence systems, such as large language models and image generators. They combine expertise in machine learning, deep learning, and software engineering to build applications that can create new content, automate tasks, and solve complex problems. Gen AI Engineers often work with frameworks like TensorFlow or PyTorch and collaborate with data scientists and product teams to bring generative AI solutions into real-world products.

What are the key skills and qualifications needed to thrive as a Gen AI engineer?

To thrive as a Gen AI Engineer, you need a solid background in computer science, machine learning, and deep learning, typically supported by a relevant degree and experience with AI model development. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms such as AWS or Google Cloud, and proficiency in programming languages like Python are essential, as are certifications in AI or cloud technologies. Strong problem-solving skills, creativity, and the ability to communicate complex concepts effectively help you stand out in this role. These skills and qualities are crucial for building innovative AI solutions that meet business needs and drive technological advancement.

What are some common challenges Gen AI engineers face when deploying AI models in production environments?

Gen AI Engineers often encounter challenges such as ensuring model scalability, managing computational resources efficiently, and maintaining data privacy when deploying AI models. Additionally, integrating generative models with existing systems can require significant collaboration with DevOps and software engineering teams. Monitoring model performance in real-time and addressing issues like model drift or unexpected outputs are also critical responsibilities to ensure robust and reliable AI solutions.

What is the difference between Gen Ai Engineer vs Data Scientist?

AspectGen Ai EngineerData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; experience with AI frameworksDegree in Data Science, Statistics, or related fields; strong analytical skills
Work EnvironmentTech companies, AI startups, R&D labsBusiness analytics, research institutions, tech firms
Employer & Industry UsageDevelops generative AI models, focuses on AI product developmentAnalyzes data, builds predictive models, supports decision-making
Search & Comparison IntentUnderstanding AI-specific roles, skills, and responsibilitiesData analysis, insights, and statistical modeling

While both roles involve working with data and AI technologies, a Gen Ai Engineer primarily focuses on developing and deploying generative AI models, whereas a Data Scientist emphasizes analyzing data to extract insights and build predictive models. The roles often overlap in skills and work environment but differ in their core objectives and applications.

What are popular job titles related to Gen Ai Engineer jobs in Michigan?

For Gen Ai Engineer jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Gen Ai Engineer jobs in Michigan look for?

The top searched job categories for Gen Ai Engineer jobs in Michigan are:

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

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

Gen Ai Engineer jobs near you
Infographic showing various Gen Ai Engineer job openings in Michigan as of August 2026, with employment types broken down into 73% Full Time, 21% Part Time, 2% Temporary, 3% Contract, and 1% Nights. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $97,298 per year, or $46.8 per hour.

Lead Gen AI Engineer

Reliable Software Resources

Detroit, MI • On-site

$93K - $123K/yr

Other

Posted 10 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

Apply