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Generative Ai Analyst Jobs in Michigan (NOW HIRING)

Meijer Companies Ltd

Business Analyst II

Grand Rapids, MI · On-site +1

$67K - $85K/yr

Translates business problems into clear solution requirements for agentic AI, generative AI, and ... Strong analytical and problem-solving skills, including the ability to structure ambiguous problems ...

Stellantis

AI & Automation Engineer

Auburn Hills, MI · On-site

Build and implement AI-enabled solutions including generative AI use cases for requirements analysis, DVP creation, automated test generation, traceability, and validation evidence review * Integrate ...

General Motors

AI/ML Data Scientist (GPSSC)

Warren, MI · On-site

The Role Our Product Safety Data Analytics team is seeking an experienced AI/ML Data Scientist with ... Prototype new AI solutions, including Generative AI, to solve business problems. * Develop new ...

Stellantis

AI & Automation Engineer

Auburn Hills, MI

Build and implement AI-enabled solutions including generative AI use cases for requirements analysis, DVP creation, automated test generation, traceability, and validation evidence review * Integrate ...

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All JobsGenerative Ai Analyst JobsGenerative Ai Analyst Jobs in Michigan

Generative Ai Analyst information

See Michigan salary details

$42.7K

$77.2K

$107.6K

How much do generative ai analyst jobs pay per year?

As of Aug 27, 2026, the average yearly pay for generative ai analyst in Michigan is $77,196.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,800.00 and $86,700.00 per year, depending on experience, location, and employer.

What is a generative AI analyst?

A Generative AI Analyst is a professional who specializes in analyzing, designing, and optimizing systems that use generative artificial intelligence models, such as large language models or image generators. Their work involves understanding how these AI models are developed, deployed, and utilized across various applications. They assess data quality, monitor model outputs, evaluate performance, and help improve the effectiveness and ethical use of generative AI technologies. Generative AI Analysts may also provide insights to organizations on best practices, risk management, and innovation opportunities related to AI. Their expertise bridges the gap between data science, AI development, and business strategy.

What are the key skills and qualifications needed to thrive as a generative AI analyst?

To thrive as a Generative AI Analyst, you need a solid background in data science, machine learning, and statistics, often supported by a degree in computer science or a related field. Familiarity with tools and frameworks such as Python, TensorFlow, PyTorch, and experience with large language models or generative adversarial networks (GANs) is typically required. Strong analytical thinking, creativity, and effective communication skills help you interpret complex data and present insights to stakeholders. These skills and qualities are crucial for developing innovative AI solutions, solving business challenges, and driving impactful results.

How does a generative AI analyst typically collaborate with data scientists and engineering teams?

A Generative AI Analyst frequently works alongside data scientists and engineering teams to interpret model outputs, assess data quality, and help translate business objectives into technical requirements. Collaboration usually involves regular meetings to review model performance, troubleshoot issues, and refine algorithms based on real-world feedback. Effective communication and a shared understanding of both AI concepts and business goals are essential, as the analyst often serves as a bridge between technical teams and stakeholders. This collaborative environment fosters continuous learning and innovation, making teamwork a core aspect of the role.

What is the difference between Generative Ai Analyst vs Data Scientist?

AspectGenerative Ai AnalystData Scientist
Required CredentialsBachelor's in CS, AI, or related fields; certifications in AI/MLBachelor's/Master's in CS, Statistics, or related fields; advanced certifications
Work EnvironmentTech companies, AI startups, research labsTech firms, finance, healthcare, consulting
Employer & Industry UsageFocus on developing and refining generative AI modelsAnalyze data, build predictive models, derive insights
Common Search & Comparison IntentUnderstanding roles in AI developmentData analysis and modeling skills

While both roles require strong technical skills and knowledge of AI and data analysis, a Generative Ai Analyst specializes in creating and optimizing generative AI models, whereas a Data Scientist focuses on analyzing data to inform business decisions. The roles often overlap but differ in their primary focus and application within organizations.

How much do generative AI analysts make?

Generative AI analysts typically earn between $70,000 and $130,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning and deep learning can command higher salaries, often exceeding $150,000.

Is Generative AI a promising career?

Generative AI is a rapidly growing field with increasing demand for specialists such as Generative AI Analysts, who develop and refine AI models like GPT and DALL·E. Careers in this area often require skills in machine learning, programming, and data analysis, and offer opportunities across technology, healthcare, entertainment, and other industries. The field is expected to continue expanding as AI applications become more integrated into various sectors.

What are popular job titles related to Generative Ai Analyst jobs in Michigan?

For Generative Ai Analyst jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Generative Ai Analyst jobs in Michigan look for?

The top searched job categories for Generative Ai Analyst jobs in Michigan are:

What cities in Michigan are hiring for Generative Ai Analyst jobs?

Cities in Michigan with the most Generative Ai Analyst job openings:

Generative Ai Analyst jobs near you
Infographic showing various Generative Ai Analyst 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 $77,196 per year, or $37.1 per hour.

AI Architect - Generative AI

Turning Point Search

Southfield, MI

$58.25 - $76.75/hr

Full-time

Re-posted 23 days ago

Job description

AI Architect - Generative AI
Willingness to work hybrid and onsite in Southfield (Metro-Detroit, MI).

We are in a digital revolution where AI and analytics offer rare opportunities to transform business. Our client provides AI services to help companies unlock AI/ML and GenAI potential, rapidly prototyping, validating, and scaling enterprise solutions. We're hiring an AI Architect to lead this effort.
Key Responsibilities:

  • Engage with existing and prospective clients to present AI/ML and GenAI-based solutions, including product/platform demonstrations.
  • Lead the technical response to AI/ML and GenAI/Agentic AI related RFPs/RFIs and present the technical solution in customer orals (both In-Person/Virtual)
  • Architect and design sophisticated, advanced analytical applications using GenAI. Examples include but not limited to Forecasting, Predictive Maintenance, Segmentation, Supply Chain Optimization, Computer Vision, Speech, and Text Analytics using appropriate AI/ML and GenAI/Agentic AI tools & technologies across major cloud platform (Azure/AWS/GCP)
  • Design and build GenAI/Agentic AI-based capabilities leveraging LLMs (First-party, Third-party, and Open Source) to solve complex business problems.
  • Act as the primary technical PoC for customers to implement "Responsible AI" practices across the organization
  • Stay up to date with latest industry trends/emerging technologies in AI and provide thought leadership to senior management and CxO teams
  • Provide technical advisory & guidance to customer, pre-sales, and delivery teams on AI/ML and GenAI/Agentic AI platforms and solutions
Qualifications:
  • Must have a minimum of 8+ years machine learning, data science, enterprise scale, experience in ML Ops
  • Excellent verbal and written communication skills with ability to present complex AI/ML concepts to technical and executive audience (using PPTs, Demos, Whiteboard)
  • Hands-on expertise in fine-tuning LLMs and designing AI/ML and GenAI/Agentic AI solutions on at least 1 major cloud platform (Azure, AWS and GCP)
  • Strong relationship building skills and ability to provide technical advisory and guidance
  • Proven ability as Solution Architect designing and developing AI/ML applications
  • Minimum 2-year hands-on experience in building GenAI/Agentic AI applications demonstrating LLM in any of the following industries: manufacturing, automotive, healthcare, financial services
  • Demonstrated ability as Solution Architect in pre-sales team driving the sales process from a technical solution standpoint
  • Expertise in handling large and sophisticated RFPs/RFIs and collaborating with multiple service lines & platform vendors in a fast-paced environment

Education:

  • Bachelor's or Master's degree or equivalent experience in computer science, engineering, information systems or a related field

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