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Senior Generative Ai Engineer Jobs in Michigan (NOW HIRING)

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.

Tech Tammina LLC

AI Engineer/ Developer

Okemos, MI · On-site

Role:: AI Engineer/ Developer Location: Okemos, MI (onsite/ Hybrid) Duration: 12 months+ Rate ... Rapidly prototype applications that demonstrate new capabilities in LLMs or generative AI

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Senior Generative Ai Engineer information

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 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.

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 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 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 August 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 82% In-person, and 18% Remote job distribution.

Senior Generative AI & Agent Engineer

Reliable Software Resources

Detroit, MI • On-site

$95K - $131K/yr

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Job Title: Senior Generative AI & Agent Engineer

Location: Detroit, MI (Onsite)

Duration: Long-term contract

Job overview:

Highly experienced, hands-on AI Engineer to build intelligent agents for AFG’s Inspection Automation initiative. The solution will analyze complex documents, extract relevant information, evaluate findings, and generate accurate, explainable scores.

Key Requirements

  •  13+years of IT experience required
  • Proven experience delivering multiple production-grade AI solutions
  • Deep expertise in RAG, LLM-powered chatbots, document extraction, and custom AI agents
  • Experience designing document review, scoring, and decision-support workflows
  • Strong knowledge of AI deployment, monitoring, security, and governance
  • Ability to produce traceable, explainable, and auditable AI outputs
  • Excellent communication skills
  • Ability to train and transfer knowledge to AFG team members

This is a hands-on contract role requiring both strong technical execution and effective collaboration with business and technical stakeholders.

 

 

 

Educational Qualifications:

  • Required - Bachelor’s degree in Computer Science, Information Technology, Computer Engineering or closely related or equivalent.
  • Preferred - Master’s degree in Management Information Systems (MIS), Computer Science, Big Data or Analytics or equivalent.

 

Travel:

·   Open to travel based up on the nature of the engagement.

 

 

Thanks & Regards

Srikanth Donkani

Resource Manager | Reliable Software

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