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Senior Generative Ai Engineer Jobs in Michigan (NOW HIRING)

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 ...

Pwc

AI Engineer

Detroit, MI · On-site

$50K - $112K/yr

... generative AI techniques, including prompt engineering, LLM evaluation, and fine-tuning, to develop production-ready applications powered by foundation models - Developing automated evaluation ...

Pwc

AI Engineer

Grand Rapids, MI · On-site

$50K - $112K/yr

... generative AI techniques, including prompt engineering, LLM evaluation, and fine-tuning, to develop production-ready applications powered by foundation models - Developing automated evaluation ...

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 ...

FastTek

Machine Learning Engineer

Dearborn, MI

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

Stellantis

AI & Automation Engineer

Auburn Hills, MI · On-site

Join our engineering organization as an AI & Automation Engineer focused on building scalable, AI ... Build and implement AI-enabled solutions including generative AI use cases for requirements ...

Megan soft Inc

Senior AI/ML Engineer

Dearborn Heights, MI · On-site

$96K - $132K/yr

Role: Senior AI/ML Engineer (W2 Position) Location: Dearborn, MI (Hybrid) Duration: 12+ Months ... as deep learning, generative AI, natural language processing, image processing, cognitive ...

Aquent

AI Software Test Engineer (SDET)

Ann Arbor, MI · On-site

$42.06 - $46.73/hr

... engineering and a commitment to excellence. Are you ready to dive into the exciting world of ... generative AI solutions. You will be instrumental in ensuring that our AI systems are not just ...

OneStream Software

Senior AI Engineer

Birmingham, MI · On-site

$99K - $136K/yr

Description Senior AI Engineer Location : Hybrid, United States Employment Type : Full-Time Benefits Offered : Vision, Medical, Life, Dental, 401K Gross Annual Base Salary : USD 131,000 - 170,000 ...

OneStream

Senior AI Engineer

Birmingham, MI

$99K - $136K/yr

Senior AI Engineer Location :  Hybrid, United States Employment Type : Full-Time Benefits Offered : Vision, Medical, Life, Dental, 401K Gross Annual Base Salary : USD 131,000 - 170,000 ...

OneStream

Senior AI Engineer

Birmingham, MI · On-site

$99K - $136K/yr

Senior AI Engineer Location :Hybrid, United States Employment Type :Full-Time Benefits Offered :Vision, Medical, Life, Dental, 401K Gross Annual Base Salary :USD 131,000 - 170,000 Additional variable ...

Barton Malow

Sr. AI Engineer

Southfield, MI · On-site

$95K - $131K/yr

About the role We are hiring a Senior AI Engineer to build the systems that make AI agents do real, reliable work across Barton Malow. This is a deep, hands-on, senior individual-contributor role.

Barton Malow

Sr. AI Engineer

Southfield, MI · On-site

$95K - $131K/yr

About the role We are hiring a Senior AI Engineer to build the systems that make AI agents do real, reliable work across Barton Malow. This is a deep, hands-on, senior individual-contributor role.

Reliable Software Resources

Lead Gen AI Engineer

Detroit, MI · On-site

$93K - $123K/yr

Lead Generative AI & Agent Engineer Long-term contract Location: Northville, MI (hybrid onsite) Key Requirements * Proven experience delivering multiple production-grade AI solutions * Deep expertise ...

Tech Tammina LLC

AI Engineer

Okemos, MI · On-site

Job Title: AI Engineer / Applied AI Developer Okemos, MI (Hybrid): Minimum of 3 days per week ... Open only to Senior-level candidates located in Eastern Time (EST). Must Have Technical Skills:

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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 74% Full Time, 20% Part Time, 5% Contract, and 1% Nights. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution.

AI Architect - Generative AI

Turning Point Search

Southfield, MI • On-site

$58.25 - $76.75/hr

Full-time

Re-posted 29 days ago

Job description

AI Architect - Generative AI
Willingness to work hybrid and onsite in Southfield (Metro-Detroit, MI).
We are in a digital revolution where AI and analytics offer rare opportunities to transform business. Our client provides AI services to help companies unlock AI/ML and GenAI potential, rapidly prototyping, validating, and scaling enterprise solutions. We're hiring an AI Architect to lead this effort.
Key Responsibilities:
  • Engage with existing and prospective clients to present AI/ML and GenAI-based solutions, including product/platform demonstrations.
  • Lead the technical response to AI/ML and GenAI/Agentic AI related RFPs/RFIs and present the technical solution in customer orals (both In-Person/Virtual)
  • Architect and design sophisticated, advanced analytical applications using GenAI. Examples include but not limited to Forecasting, Predictive Maintenance, Segmentation, Supply Chain Optimization, Computer Vision, Speech, and Text Analytics using appropriate AI/ML and GenAI/Agentic AI tools & technologies across major cloud platform (Azure/AWS/GCP)
  • Design and build GenAI/Agentic AI-based capabilities leveraging LLMs (First-party, Third-party, and Open Source) to solve complex business problems.
  • Act as the primary technical PoC for customers to implement "Responsible AI" practices across the organization
  • Stay up to date with latest industry trends/emerging technologies in AI and provide thought leadership to senior management and CxO teams
  • Provide technical advisory & guidance to customer, pre-sales, and delivery teams on AI/ML and GenAI/Agentic AI platforms and solutions
Qualifications:
  • Must have a minimum of 8+ years machine learning, data science, enterprise scale, experience in ML Ops
  • Excellent verbal and written communication skills with ability to present complex AI/ML concepts to technical and executive audience (using PPTs, Demos, Whiteboard)
  • Hands-on expertise in fine-tuning LLMs and designing AI/ML and GenAI/Agentic AI solutions on at least 1 major cloud platform (Azure, AWS and GCP)
  • Strong relationship building skills and ability to provide technical advisory and guidance
  • Proven ability as Solution Architect designing and developing AI/ML applications
  • Minimum 2-year hands-on experience in building GenAI/Agentic AI applications demonstrating LLM in any of the following industries: manufacturing, automotive, healthcare, financial services
  • Demonstrated ability as Solution Architect in pre-sales team driving the sales process from a technical solution standpoint
  • Expertise in handling large and sophisticated RFPs/RFIs and collaborating with multiple service lines & platform vendors in a fast-paced environment

Education:
  • Bachelor's or Master's degree or equivalent experience in computer science, engineering, information systems or a related field

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