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Generative Ai Developer Jobs in Michigan (NOW HIRING)

HTC Global Services Inc

AI Engineer

Grand Rapids, MI · On-site

Lead architecture for Generative AI, LLMs, and traditional machine learning models. Design scalable ... Experience with DevOps/CI-CD pipelines for machine learning. Exposure to AI governance and ...

Corning

At Corning, we are looking for an AI Engineer to help build, implement, and support AI-enabled ... generative AI tools. - Experience building applications, automations, internal tools, scripts ...

New

Corning

At Corning, we are looking for an AI Engineer to help build, implement, and support AI-enabled ... generative AI tools. - Experience building applications, automations, internal tools, scripts ...

New

Corning

At Corning, we are looking for an AI Engineer to help build, implement, and support AI-enabled ... generative AI tools. - Experience building applications, automations, internal tools, scripts ...

New

Saanvi Technologies

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 ... Strong programming experience in Python, including backend development, API design, automation, and ...

Genesys

You will drive innovation in Generative AI, lead the evolution toward agentic AI systems, and ... Software Engineering & AI System Architecture * Design and build scalable AI/ML systems with a ...

FastTek

Machine Learning Engineer

Dearborn, MI · On-site

Stay current with advancements in AI, Generative AI, Agentic AI, and MLOps Required Qualifications: * Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field

General Motors

AI/ML Data Scientist (GPSSC)

Warren, MI · On-site

Programming & Frameworks : Python, R, Java, PySpark, PyTorch, TensorFlow, Scikit-learn, LangChain, SQL * Machine Learning & AI : Large Language Models (LLMs), Generative AI, RAG, Generative AI, Deep ...

Relativity

Software Engineer

Detroit, MI · On-site

Understanding of DevOps principles and experience with tools such as GitHub Actions * Experience working with large language model (LLM) APIs or generative AI systems * Experience designing and ...

CSAA

Remain current with advancements in AI/ML, Generative AI, cloud technologies, platform engineering, and reliability practices. * Identify opportunities to improve operational efficiency, governance ...

Stefanini

MLOps Engineer

Dearborn, MI · On-site

Stefanini is looking for a MLOps Engineer (Dearborn, MI) For quick apply, please reach out to ... strong focus on Generative AI, intelligent automation, and cloud-native architectures.

Crowe LLP

Senior AI Engineer

Grand Rapids, MI · On-site +1

$100K - $137K/yr

Senior AI Engineer 1 About Crowe Studio Crowe Studio is a business unit dedicated to helping ... Research new generative AI, machine learning, and cloud technologies to evaluate applicability to ...

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Generative Ai Developer information

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How much do generative ai developer jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for generative ai developer in Michigan is $39.47, according to ZipRecruiter salary data. Most workers in this role earn between $20.53 and $47.79 per hour, depending on experience, location, and employer.

What are some common challenges faced by Generative AI Developers when deploying models in production environments?

Generative AI Developers often encounter challenges such as ensuring model reliability, managing computational resource requirements, and addressing ethical considerations like data bias or content safety. Deploying generative models at scale requires robust monitoring to detect unexpected outputs or model drift, and collaboration with data engineers and product teams to optimize performance. Staying up-to-date with evolving frameworks and best practices is essential, as production environments demand both technical rigor and adaptability to new AI advancements.

What are the key skills and qualifications needed to thrive as a Generative AI Developer, and why are they important?

To thrive as a Generative AI Developer, you need strong programming skills (especially in Python), a deep understanding of machine learning concepts, and an advanced degree in computer science or a related field. Familiarity with frameworks like TensorFlow, PyTorch, and experience with cloud platforms or model deployment tools are typically required. Creative problem-solving, adaptability, and effective collaboration are standout soft skills in this evolving field. These abilities are crucial to design, implement, and refine generative models that solve real-world problems and drive innovation.

Is generative AI a good career?

Generative AI is a rapidly growing field with high demand for skilled developers who can create and optimize AI models using tools like deep learning frameworks. Careers in this area often require knowledge of machine learning, programming, and data handling, offering opportunities in tech companies, research, and startups. The field provides competitive salaries and continuous learning opportunities due to its evolving nature.

What is the difference between Generative Ai Developer vs Machine Learning Engineer?

AspectGenerative Ai DeveloperMachine Learning Engineer
CredentialsBachelor's or higher in CS, AI, or related fields; experience with deep learning frameworksBachelor's or higher in CS, Data Science, or related fields; strong programming skills
Work EnvironmentDevelops AI models for content creation, chatbots, and creative applicationsBuilds and deploys ML models for various data-driven solutions across industries
Industry UsageTech, entertainment, marketing, and creative sectorsFinance, healthcare, tech, and e-commerce sectors

While both roles involve AI and machine learning, Generative Ai Developers focus on creating models that generate content, such as images or text, whereas Machine Learning Engineers develop broader ML solutions for diverse applications. The roles often overlap but differ mainly in their specific focus areas and use cases.

What is the salary of a generative AI developer?

The salary of a generative AI developer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and skill set. Senior developers with expertise in machine learning frameworks and deep learning may earn higher compensation, especially in tech hubs or companies with advanced AI projects.

What does a generative AI developer do?

A generative AI developer designs and builds algorithms that enable machines to create content such as text, images, or audio. They work with machine learning frameworks, train models on large datasets, and optimize algorithms for performance and accuracy, often using tools like Python and TensorFlow or PyTorch.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence development, such as a senior Generative AI Developer or AI research lead, often involving advanced skills in machine learning, deep learning, and large language models. These roles usually require extensive experience, specialized knowledge, and may include responsibilities like designing AI systems, managing teams, or overseeing AI strategy in organizations with competitive compensation packages. Such salaries are common in top tech companies or specialized AI firms for highly skilled professionals.

What is a Generative AI Developer?

A Generative AI Developer is a technology professional who specializes in designing, building, and deploying artificial intelligence systems that can create new content, such as text, images, audio, or code. They work with advanced machine learning models, like generative adversarial networks (GANs) or large language models, to enable computers to produce original outputs. These developers often collaborate with data scientists, researchers, and product teams to integrate AI-generated content into software applications and business solutions.
What are popular job titles related to Generative Ai Developer jobs in Michigan? For Generative Ai Developer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Generative Ai Developer jobs in Michigan look for? The top searched job categories for Generative Ai Developer jobs in Michigan are:
What cities in Michigan are hiring for Generative Ai Developer jobs? Cities in Michigan with the most Generative Ai Developer job openings:
Generative Ai Developer jobs near you
Infographic showing various Generative Ai Developer job openings in Michigan as of July 2026, with employment types broken down into 77% Full Time, 20% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $82,104 per year, or $39.5 per hour.
AI Engineer

AI Engineer

HTC Global Services Inc

Grand Rapids, MI • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 18 days ago

Job description

Job Title AI/ML Solutions Architect (GenAI & RAG) Overview / Summary We are seeking an experienced AI/ML Solutions Architect with 10+ years of software engineering and/or data science experience, including 3–5+ years in AI/ML architecture roles. The role is responsible for defining AI/ML architecture strategy, designing end-to-end AI solutions, and leading architecture initiatives across Generative AI, LLMs, machine learning, and data platforms. Key Responsibilities Define and drive the AI/ML architecture strategy across the organization. Design end-to-end AI solutions. Lead architecture for Generative AI, LLMs, and traditional machine learning models. Design scalable data pipelines and real-time/streaming architectures. Establish MLOps practices for model versioning, deployment, and monitoring. Collaborate with AI and Data teams to define and promote best practices in AI system design. Evaluate emerging AI technologies and define adoption strategies. Required Qualifications 10+ years of experience in software engineering and/or data science. 3–5+ years of experience in AI/ML architecture roles. Strong experience in AI/ML architecture and system design. Strong experience with RAG (Retrieval-Augmented Generation). Expertise in machine learning, deep learning, and NLP. Hands-on experience with LLMs and Generative AI (GPT, Llama, etc.). Proficiency in Python and frameworks such as TensorFlow, PyTorch, or Scikit-learn. Experience with cloud platforms including AWS, Azure, and GCP AI services. Strong knowledge of data engineering, including ETL pipelines, data lakes, and streaming architectures. Experience with MLOps tools such as MLflow, Kubeflow, SageMaker, and Vertex AI. Understanding of APIs, microservices, and distributed systems. Knowledge of vector databases. Experience with DevOps/CI-CD pipelines for machine learning. Exposure to AI governance and compliance. What Makes HTC A Great Place To Build Your Future HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you’ll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You’ll have long-term opportunities to grow your career and develop skills in the latest emerging technologies. At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks. Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected. #LI-NS1 #LI-Onsite #Hiring

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