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Senior Generative Ai Engineer Jobs in Michigan (NOW HIRING)

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 ...

Judge Group, Inc.

Midlevel AI Developer

Ann Arbor, MI · On-site

$50 - $55/hr

As an AI Engineer, you will design, develop, and deploy AI-powered applications and services that ... Build and integrate Generative AI solutions using Large Language Models (LLMs). Develop AI agents ...

Corning

... generative AI tools. - Experience building applications, automations, internal tools, scripts ... guidance from senior technical team members. - Strong communication and collaboration skills ...

EPSoft Technologies

AI engineer

Dearborn, MI · On-site

$89K - $122K/yr

AI engineer Location: Dearborn, MI,48120- 2 days onsite in a week Employment Type: Full-time ... Experience with Generative AI - LLM and building frontend with React / Chainlit / Streamlit.

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Senior Generative Ai Engineer information

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior generative AI engineer or executive role, with compensation including salary, bonuses, and stock options reaching or exceeding that amount annually. These roles often require advanced skills in machine learning, deep learning, and experience with large language models or generative AI tools, and they are usually found in leading tech companies or AI-focused organizations.

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

AspectSenior Generative Ai EngineerMachine Learning Engineer
Required CredentialsBachelor's/Master's in CS, AI, or related; experience with generative modelsBachelor's/Master's in CS, Data Science, or related; strong ML fundamentals
Work EnvironmentResearch and development focused, often in AI startups or tech companiesData analysis, model development, often across various industries
Employer & Industry UsageTech firms, AI startups, research institutionsTech, finance, healthcare, and other sectors utilizing ML solutions

The main difference is that Senior Generative Ai Engineers specialize in developing and optimizing generative models like GPT or GANs, focusing on AI creativity and content generation. Machine Learning Engineers have a broader scope, working on various ML algorithms and applications across multiple industries. Both roles require strong technical skills, but the Senior Generative Ai Engineer's expertise is more specialized in generative AI technologies.

What is the salary of senior Generative AI developer?

The salary of a senior Generative AI engineer typically ranges from $120,000 to $180,000 annually, depending on experience, location, and company size. Professionals with expertise in deep learning frameworks and large language models may earn higher compensation, especially in competitive tech markets.

What does a Senior Generative AI Engineer do?

A Senior Generative AI Engineer designs, develops, and implements advanced artificial intelligence models, particularly those focused on generating content such as text, images, or audio. They work with large datasets, build and fine-tune generative models like GPT or diffusion models, and oversee the deployment of these systems into production environments. Additionally, they collaborate with cross-functional teams to integrate AI capabilities into products, optimize model performance, and ensure ethical AI practices are followed.

What engineer makes $500,000 a year?

Senior Generative AI engineers with extensive experience, advanced skills in machine learning, deep learning, and large language models can earn salaries approaching or exceeding $500,000 annually, especially in high-demand tech companies or competitive markets. Compensation often includes base salary, bonuses, and stock options, reflecting their specialized expertise and impact on AI development projects.

What are some of the unique challenges Senior Generative AI Engineers face when deploying models in production environments?

Senior Generative AI Engineers often encounter challenges such as ensuring model reliability, addressing biases in generated outputs, and managing the significant computational resources required for deployment. There's also a strong need to collaborate with cross-functional teams, including data engineers, product managers, and domain experts, to ensure the solutions align with business goals and maintain user trust. Balancing innovation with ethical considerations and scalability is crucial in this fast-evolving field.

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

To thrive as a Senior Generative AI Engineer, you need deep expertise in machine learning, deep learning, and natural language processing, typically backed by an advanced degree in computer science or related fields. Proficiency in frameworks like TensorFlow or PyTorch, experience with cloud platforms (e.g., AWS, Azure), and familiarity with large language models are essential, along with relevant certifications. Strong problem-solving skills, creativity, and effective communication set standout engineers apart in this role. These skills and qualities are crucial for designing innovative AI solutions, collaborating across teams, and advancing the capabilities of generative models in real-world applications.

Which 3 jobs will survive AI?

Senior Generative AI Engineers are likely to continue thriving as AI technology advances, focusing on developing and refining AI models. Other roles such as healthcare professionals and skilled tradespeople are also expected to remain in demand due to the need for human judgment, physical skills, and complex decision-making that AI cannot fully replicate. These jobs require specialized expertise, critical thinking, and adaptability that are less susceptible to automation.
What are the most commonly searched types of Generative Ai Engineer jobs in Michigan? The most popular types of Generative Ai Engineer jobs in Michigan are:
What are popular job titles related to Senior Generative Ai Engineer jobs in Michigan? For Senior Generative Ai Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Senior Generative Ai Engineer jobs in Michigan look for? The top searched job categories for Senior Generative Ai Engineer jobs in Michigan are:
What cities in Michigan are hiring for Senior Generative Ai Engineer jobs? Cities in Michigan with the most Senior Generative Ai Engineer job openings:
Senior Generative Ai Engineer jobs near you
Infographic showing various Senior Generative Ai Engineer job openings in Michigan as of July 2026, with employment types broken down into 100% Full Time. Highlights an 75% In-person, and 25% Remote job distribution.

(W2)Generative AI Engineer

VISION INFOTECH INC.

Dearborn, MI • On-site

Other

Posted 3 days ago

New

Job description

Hi,

Hope you’re doing well!!

Please find the requirement below. If you find yourself comfortable with the requirement please reply back with your updated resume or call me back at  

Position: Generative AI Engineer
Location: Dearborn, MI(Hybrid)(Local)
Duration: 12+ Months
Visa: Client won't be able to sponsor any visa
LinkedIN ID

(W2 Only)

Key Responsibilities

  • Design, build, and optimize CI/CD pipelines using Jenkins, GitHub Actions, and Tekton.
  • Support the transition from Jenkins to GitHub Actions and Tekton as Ford modernizes its CI/CD platform.
  • Integrate AI developer tools and enable adoption across the developer community.
  • Develop dashboards, metrics, and reporting solutions to improve developer productivity.
  • Define architecture, standards, and best practices for developer enablement platforms.
  • Collaborate with global engineering teams to improve software delivery processes.

Required Skills

  • 6 years total IT experience 
  • Strong CI/CD and DevOps experience with tools such as Jenkins, GitHub Actions, and Tekton.
  • Experience with GitHub, automation, and software development lifecycle practices.
  • Experience supporting enterprise-scale development environments.
  • Strong communication and collaboration skills.

Preferred Skills

  • AI development tools experience (GitHub Copilot, Cursor AI, Generative AI solutions).
  • Full-stack/backend development experience with Java (Spring Boot), Go, or Python.
  • Frontend experience with React, TypeScript, or Angular.
  • REST API development, API Gateway (Apigee), OAuth2, and JWT security.
  • Data engineering experience with ETL/ELT pipelines, GCS, BigQuery, Power BI, and DAX.
  • Experience with Agile, XP practices, continuous delivery, and global software engineering teams.

Ideal Candidate

Looking for a software engineer with a strong mix of DevOps, CI/CD modernization, AI developer tooling, and full-stack development experience. Candidates who have helped migrate CI/CD platforms from Jenkins to GitHub Actions/Tekton are highly preferred.

Work Arrangement

  • Hybrid role
  • 4 days onsite per week
  • Supports global engineering teams

Thanks & Regards:

Amar Pratap

Senior Technical Recruiter
VISION INFOTECH INC
Phone: ext 531
Direct:  
Email:  
368 Main Street, st #3, Melrose MA 02176

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