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Generative Ai Analyst Jobs in Michigan (NOW HIRING)

Rapidly prototype applications that demonstrate new capabilities in LLMs or generative AI ... Strong analytical and problem-solving skills * Experience working with APIs, JSON, and various data ...

Deloitte Oracle Generative AI Architect Managers help clients delineate strategy and vision, design ... and analytic technologies? We're looking for someone that can increase the effectiveness of ...

AI Governance Operations Analyst Are you looking to be part of a global innovator in materials ... ML and generative AI use cases, ensuring standards for transparency, explainability, risk ...

Senior Cloud & AI FinOps Analyst

Novi, MI · On-site

$82K - $109K/yr

As generative AI tools become deeply embedded in our engineering and corporate workflows, you will ... Develop repeatable analyses for spend anomalies, monthly variance, and key cost drivers (e.g ...

Senior Cloud & AI FinOps Analyst

Novi, MI · On-site

$82K - $109K/yr

As generative AI tools become deeply embedded in our engineering and corporate workflows, you will ... Develop repeatable analyses for spend anomalies, monthly variance, and key cost drivers (e.g ...

Practice Manager - AI & Data

Troy, MI · On-site

$160K - $190K/yr

... Analytics leadership roles * Proven experience building and scaling technical teams or practices * Experience in: * Generative AI technologies (LLMs, RAG pipelines, prompt engineering, API-based AI ...

AI Data Engineer

Detroit, MI

$113K - $136K/yr

... generative AI (GenAI) initiatives. This role requires strong expertise in data engineering best ... and analytics. * Optimize cloud infrastructure: Utilize AWS cloud computing platforms to build ...

Build and optimize generative AI applications, including chatbots, document intelligence tools ... Strong analytical, problem-solving, communication, and collaboration skills. * Ability to work ...

The Programmer Analyst role involves developing complex computer systems primarily using Java and ... Generative AI into their services to empower customers. Founded in 1998, the company is ...

AI/ML and Data Engineer

Southfield, MI · On-site +1

$104K - $125K/yr

Architect and deliver LLM-enabled Generative AI solutions (e.g., Retrieval-Augmented Generation ... analytics, AI development, and reliable retrieval across SME content and partner datasets.

AI/ML and Data Engineer

Southfield, MI

$104K - $125K/yr

Architect and deliver LLM-enabled Generative AI solutions (e.g., Retrieval-Augmented Generation ... analytics, AI development, and reliable retrieval across SME content and partner datasets.

Machine Learning Engineer 3

Dearborn, MI · On-site

$105K - $126K/yr

Stay current with advancements in AI, Generative AI, Agentic AI, and MLOps to continuously improve ... Excellent analytical, problem-solving, and communication skills. Ability to thrive in a fast-paced ...

Showing results 41-60

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 12, 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 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.

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.

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. Entry-level roles may start lower, while experienced professionals with specialized skills in machine learning and natural language processing can earn higher salaries.

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 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:
Infographic showing various Generative Ai Analyst job openings in Michigan as of August 2026, with employment types broken down into 100% Full Time. Highlights an 60% In-person, and 40% Hybrid job distribution, with an average salary of $77,196 per year, or $37.1 per hour.

AI Engineer/ Developer

Tech Tammina LLC

Okemos, MI • On-site

Contractor

Re-posted 21 days ago


Job description

Role:: AI Engineer/ Developer

Location: Okemos, MI (onsite/ Hybrid)

Duration: 12 months+
Rate: Market

Key Responsibilities:

•             Design and build AI-powered proof-of-concepts and experimental tools using Python

•             Rapidly prototype applications that demonstrate new capabilities in LLMs or generative AI

•             Integrate APIs and handle structured/unstructured data for downstream processing or inference

•             Collaborate with cross-functional teams to iterate on design, functionality, and performance

•             Use Git and collaborative development tools to manage and share code

•             Document findings, experiments, and implementation approaches for internal sharing

Required Skills:

•             Proficiency in Python (intermediate to advanced)

•             Ability to independently develop working proof-of-concepts

•             Strong analytical and problem-solving skills

•             Experience working with APIs, JSON, and various data formats

•             Familiarity with Git-based workflows and collaborative coding practices