1

Generative Ai Jobs in Michigan (NOW HIRING)

AI engineer

Dearborn, MI · On-site

$89K - $122K/yr

Experience with Generative AI - LLM and building frontend with React / Chainlit / Streamlit. * Experience in supporting continuous improvement by investigating development alternatives. * Experience ...

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 ...

Prototype new AI solutions, including Generative AI, to solve business problems. * Develop new Agentic AI solutions to streamline business process * Ehnance existing model solutions as business and ...

Senior Engineer, AI

Novi, MI · On-site

$90.75 - $133.10/hr

The primary focus remains on generative AI, LLMs, agentic workflows, retrieval‑augmented generation (RAG), and enterprise copilots, with an emphasis on responsible AI, governance, and scalable ...

Prototype new AI solutions, including Generative AI, to solve business problems. * Develop new Agentic AI solutions to streamline business process * Ehnance existing model solutions as business and ...

Hands-on experience with generative AI platforms such as Microsoft Copilot, ChatGPT, or Claude . * Understanding of AI governance, privacy, cybersecurity, and responsible AI. * Strong project ...

Experience with generative AI platforms such as ChatGPT, Copilot, or Claude. * Understanding of AI governance, privacy, cybersecurity, and responsible AI. * Strong project management, communication ...

Midlevel AI Developer

Ann Arbor, MI · On-site

$50 - $55/hr

Build and integrate Generative AI solutions using Large Language Models (LLMs). Develop AI agents, workflows, prompts, tools, and orchestration frameworks. Implement retrieval-augmented generation ...

AI Software Developer

Ann Arbor, MI · On-site

$47.82 - $53.13/hr

Build and integrate Generative AI solutions utilizing large language models (LLMs) to create innovative features. * Develop sophisticated AI agents, workflows, prompts, tools, and orchestration ...

AI Specialist

Pontiac, MI · On-site

$60 - $65/hr

Generative AI: Copilot, LLMs, RAG, Enterprise AI Platforms * Big Data: Apache Spark, Databricks * Cloud: AWS (SageMaker, EC2, S3), Azure Machine Learning, Azure Databricks * Databases: SQL, NoSQL

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 ...

Deloitte Oracle Generative AI Architect Managers help clients delineate strategy and vision, design and implement process and systems which align with business objectives and have a measurable impact ...

Showing results 21-40

Generative Ai information

What is a generative AI?

A Generative AI job involves developing, fine-tuning, or deploying AI models that can create content such as text, images, music, or code. Professionals in this field work with machine learning frameworks, large language models, and neural networks to improve AI-generated outputs. Roles may include AI researchers, machine learning engineers, prompt engineers, or data scientists specializing in generative models. These jobs require expertise in programming (Python, TensorFlow, PyTorch), data processing, and AI ethics.

What does a generative AI specialist do?

A Generative AI Specialist typically focuses on designing, training, and fine-tuning generative models, such as those used for text, image, or audio generation. You may be responsible for researching the latest advancements, preparing datasets, evaluating model performance, and collaborating closely with data engineers, product managers, and software developers to integrate solutions into products. In many organizations, you’ll also participate in brainstorming sessions to explore new applications of generative AI, contribute to technical documentation, and support model monitoring or improvement post-deployment. This role requires a blend of technical expertise and teamwork, offering a dynamic environment where you can have a direct impact on cutting-edge innovation.

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

To thrive as a Generative AI Specialist, you need a strong background in machine learning, deep learning, and natural language processing, often supported by a relevant degree such as computer science or data science. Expertise with frameworks like TensorFlow or PyTorch, proficiency in Python, and knowledge of cloud platforms are commonly expected, with additional certifications in AI or related fields seen as valuable assets. Strong problem-solving abilities, creativity, and effective communication skills set top candidates apart. These skills are crucial for designing, developing, and deploying advanced generative models that address real-world business needs.

Is generative AI a career?

Generative AI is a growing field with roles such as AI engineer, research scientist, and data scientist focused on developing and improving AI models. Careers in this area typically require skills in machine learning, programming, and data analysis, and often involve working with tools like neural networks and deep learning frameworks.

What are the most commonly searched types of Generative Ai jobs in Michigan?

The most popular types of Generative Ai jobs in Michigan are:

What cities in Michigan are hiring for Generative Ai jobs?

Cities in Michigan with the most Generative Ai job openings:

Infographic showing various Generative Ai 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.

AI & Automation Engineer

Fiat Chrysler Automobiles (FCA)

Auburn Hills, MI • On-site

Other

Posted 6 days ago


Job description

Join our engineering organization as an AI & Automation Engineer focused on building scalable, AI-enabled solutions that streamline the Verification & Validation (V&V) lifecycle. This role develops automation tools, software applications, and intelligent workflows that increase efficiency, improve quality, and accelerate delivery across engineering teams. You will partner with global stakeholders to design, deploy, and optimize modern automation and AI-driven capabilities. 

Key Responsibilities 


Design and develop software tools, APIs, scripts, and automation workflows supporting Verification & Validation (V&V) engineering activities 

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 automation and AI solutions with engineering systems, dashboards, CI/CD pipelines, databases, and validation platforms 

Develop proof-of-concepts, run pilot programs, gather user feedback, and transition solutions into production environments 

Collaborate with cross-functional and global teams to define requirements, validate solutions, and drive adoption of automation tools 

Identify opportunities to reduce manual effort, improve process consistency, and increase engineering efficiency through automation and AI 

Ensure scalable, maintainable, and well-documented code following software development best practices 


Basic Qualifications:


* Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, or a related technical field.

* Strong programming skills in at least one language such as Python, JavaScript, TypeScript, C#, or C++.

* 7+ years of relevant experience in this field

* Experience developing software tools, automation scripts, APIs, data pipelines, or workflow automation solutions.

* Understanding of software development fundamentals, including version control, debugging, testing, documentation, and maintainable code design.

* Ability to analyze engineering processes and translate them into structured automation solutions.

* Strong problem-solving, communication, and collaboration skills.

* Basic familiarity with AI-enabled tools, generative AI concepts, or AI-assisted software development, with interest in applying AI to engineering automation use cases.


Preferred Qualifications:


* Experience with AI, machine learning, generative AI, large language models, RAG, vector search, prompt engineering, or AI-assisted software development.

* Experience developing dashboards, web applications, internal engineering tools, or user-facing automation platforms.

* Experience with front-end or full-stack development using technologies such as React, TypeScript, or similar frameworks.

* Familiarity with SQL, relational databases, data modeling, or database-driven application development.

* Familiarity with cloud platforms, containers, data platforms such as Databricks or similar, and CI/CD tools such as TeamCity, Jenkins, GitHub Actions, Azure DevOps, or similar.

* Experience working with global teams and supporting adoption of new tools, methods, or automation practices.