1

Generative Ai Engineer Jobs in Michigan (NOW HIRING)

Senior Engineer, AI

Novi, MI · On-site

$98K - $134K/yr

Engineer audio systems and integrated technology platforms that augment the driving experience ... Design, build, and deploy AI and Generative AI solutions that automate internal workflows and ...

Large language models (LLMs) and generative AI applications, machine learning models, natural language processing (NLP), optimization and mathematical programming and recommendation systems. * Builds ...

Large language models (LLMs) and generative AI applications, machine learning models, natural language processing (NLP), optimization and mathematical programming and recommendation systems. * Builds ...

Large language models (LLMs) and generative AI applications, machine learning models, natural language processing (NLP), optimization and mathematical programming and recommendation systems. * Builds ...

Senior Engineer, AI

Novi, MI · On-site

$98K - $134K/yr

Engineer audio systems and integrated technology platforms that augment the driving experience ... Design, build, and deploy AI and Generative AI solutions that automate internal workflows and ...

Generative AI Lead

Auburn Hills, MI · On-site

$158K/yr

Stellantis is a global automotive company seeking a Generative AI Lead to define the vision ... This role focuses on improving developer productivity and software quality while overseeing ...

... years of software engineering and/or data science experience, including 3-5+ years in AI/ML ... Lead architecture for Generative AI, LLMs, and traditional machine learning models. * Design ...

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 ...

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 ...

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

MLOps Engineer

Dearborn, MI · On-site

$67 - $72/hr

Design, develop, and deploy machine learning models, including predictive, optimization, and Generative AI solutions. * Build end-to-end AI workflows encompassing data ingestion, feature engineering ...

Design, develop, and deploy machine learning models, including predictive, optimization, and Generative AI solutions. * Build end-to-end AI workflows encompassing data ingestion, feature engineering ...

Design, develop, and deploy machine learning models, including predictive, optimization, and Generative AI solutions. * Build end-to-end AI workflows encompassing data ingestion, feature engineering ...

Design, develop, and deploy machine learning models, including predictive, optimization, and Generative AI solutions. * Build end-to-end AI workflows encompassing data ingestion, feature engineering ...

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.

Sr Gen AI Engineer

Southfield, MI · On-site

$87K - $140K/yr

Stay current with the rapidly evolving generative AI landscape Our Current Technical Environment ... Proficiency in programming languages used in AI and machine learning, such as Python, TensorFlow ...

next page

Showing results 1-20

Generative Ai Engineer information

See Michigan salary details

$33.1K

$101K

$166.9K

How much do generative ai engineer jobs pay per year?

As of Jun 17, 2026, the average yearly pay for generative ai engineer in Michigan is $100,987.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,300.00 and $132,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Generative Ai Engineer position, and why are they important?

To thrive as a Generative AI Engineer, you need a deep understanding of machine learning, deep learning architectures (such as GANs and transformers), and proficiency in programming languages like Python, along with a degree in computer science, engineering, or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, and relevant cloud platforms, as well as certifications in AI or ML, are highly valuable. Strong problem-solving skills, creativity, and effective communication help engineers collaborate and innovate within diverse, multidisciplinary teams. These skills are critical for developing advanced AI models, driving continuous improvement, and successfully translating complex research into practical applications.

What are the typical projects or responsibilities for a Generative AI Engineer?

As a Generative AI Engineer, your typical responsibilities involve designing, developing, and optimizing generative models for tasks such as image synthesis, natural language generation, or data augmentation. You will often collaborate closely with data scientists, researchers, and product teams to translate business or research goals into scalable AI solutions. Day-to-day work may include experimenting with different neural network architectures, optimizing model performance, and deploying models to production environments. Many roles also offer opportunities to contribute to publications or open-source projects, and there is strong potential for career growth into lead engineering or research positions as you gain experience.

What engineers make $500,000?

Senior engineers in high-demand fields such as software engineering, especially those specializing in artificial intelligence, machine learning, or cybersecurity, can earn $500,000 or more annually. These roles often require advanced skills, extensive experience, and sometimes leadership responsibilities or stock options in tech companies.

What is a Generative AI Engineer job?

A Generative AI Engineer is a specialized software engineer who designs, develops, and optimizes AI models that generate content such as text, images, audio, or video. They work with deep learning frameworks, train large-scale models, and fine-tune pre-trained architectures to improve performance. Their role involves data preprocessing, model deployment, and continuous optimization to enhance AI-generated outputs. Generative AI Engineers typically collaborate with data scientists, researchers, and product teams to integrate AI solutions into applications and services.

What do generative AI engineers do?

Generative AI engineers develop and optimize algorithms that enable machines to create content such as text, images, or audio. They work with machine learning frameworks, neural networks, and large datasets to build models like GPT or GANs, often requiring skills in programming, data analysis, and deep learning tools. Their work involves designing, training, and fine-tuning models to ensure high-quality output for various applications.

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 AI engineer, research scientist, or executive role, often involving advanced skills in machine learning, deep learning, and data analysis. These roles usually require extensive experience, specialized knowledge, and may include leadership responsibilities or strategic oversight. Compensation at this level reflects the value of expertise and impact on organizational innovation and growth.

Which 3 jobs will survive AI?

Generative AI engineers, healthcare professionals, and skilled tradespeople are likely to continue thriving as these roles require complex problem-solving, human judgment, and hands-on skills that AI cannot fully replicate. These jobs often involve creativity, empathy, or physical tasks, making them more resilient to automation and AI advancements.
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 Generative Ai Engineer jobs in Michigan? For Generative Ai Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Generative Ai Engineer jobs in Michigan look for? The top searched job categories for Generative Ai Engineer jobs in Michigan are:
What cities in Michigan are hiring for Generative Ai Engineer jobs? Cities in Michigan with the most Generative Ai Engineer job openings:
Senior Engineer, AI

$98K - $134K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago


Job description

General information
Location:
Novi - Michigan, USA - Cabot Drive
Job Family:
Artificial Intelligence & Machine Learning
Worker Type Reference:
Regular - Permanent
Pay Rate Type:
Salary
Career Level:
T3
Job ID:
R-53076-2026
Description & Requirements
Introduction: A Career at HARMAN Automotive
We're a global, multi-disciplinary team that's putting the innovative power of technology to work and transforming tomorrow. At HARMAN Automotive, we give you the keys to fast-track your career.
  • Engineer audio systems and integrated technology platforms that augment the driving experience
  • Combine ingenuity, in-depth research, and a spirit of collaboration with design and engineering excellence
  • Advance in-vehicle infotainment, safety, efficiency, and enjoyment

About the Role
As a Senior AI Engineer, you will help drive internal enterprise transformation through the design, development, and deployment of AI and Generative AI solutions that improve business processes and deliver measurable value across enterprise business applications and functions. This role is focused on building practical, production-ready capabilities that increase productivity, streamline workflows, and enable better decision-making across domains such as engineering, software, HR, legal, procurement, costing, and related business functions.
You will work hands-on across the full solution lifecycle-from problem definition and prototyping to evaluation, deployment, and ongoing optimization-while contributing to enterprise data and AI initiatives that leverage Microsoft Fabric, the broader Microsoft ecosystem, and other modern cloud and data platforms. 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 adoption.
What You Will Do
  • Design, build, and deploy AI and Generative AI solutions that automate internal workflows and improve productivity across enterprise business applications and functions.
  • Deliver production-ready internal copilots, assistants, and workflow accelerators for use cases such as knowledge search, document summarization, conversational analytics, intelligent recommendations, and process automation.
  • Partner with stakeholders across engineering, software, HR, legal, procurement, costing, and similar functions to identify high-value opportunities and translate business needs into scalable AI solutions.
  • Build and support enterprise GenAI solutions using large language models, prompt engineering, agentic workflows, and RAG patterns over structured and unstructured enterprise data.
  • Contribute to enterprise data and AI initiatives using Microsoft Fabric and the broader Microsoft ecosystem, including Azure, Azure OpenAI, Power Platform, Copilot Studio, Microsoft 365, and other related platforms, while also working with complementary technologies already present in the environment.
  • Architect and develop scalable data and AI pipelines that support retrieval, orchestration, evaluation, monitoring, and secure access to enterprise information.
  • Design and implement RAG pipelines across heterogeneous enterprise datasets, including requirements documents, business rules, lessons learned, operational content, knowledge bases, and other unstructured sources.
  • Select and apply effective chunking, embedding, vector search, reranking, and routing approaches to improve retrieval quality and user outcomes.
  • Develop agentic and tool-using workflows using frameworks such as LangChain, LlamaIndex, MCP, and related orchestration patterns.
  • Evaluate model performance, prompt behavior, grounding quality, and workflow effectiveness using structured testing, human feedback, and measurable business outcomes.
  • Implement responsible AI practices including guardrails, content filtering, access controls, auditability, and governance aligned to enterprise standards.
  • Contribute to production readiness through observability, monitoring, cost awareness, performance tuning, and reliable deployment practices.
  • Build solutions and integrations using modern application stacks such as Python, Node.js, APIs, and web frameworks, with the ability to collaborate across platform, data, and application teams.
  • Work closely with business, platform, testing, validation, and delivery teams in a fast-paced environment with strong communication, rapid iteration, and a process-excellence mindset.
What You Need To Be Successful
  • 6+ years of experience building production software, data, or AI solutions, including hands-on experience with machine learning systems and/or Generative AI applications.
  • Strong hands-on experience with Python and modern software engineering practices; working knowledge of Node.js and service-oriented application development is a plus.
  • Experience building GenAI and LLM-powered applications, including prompt engineering, RAG, evaluation, and agentic workflows.
  • Familiarity with frameworks and tooling such as LangChain, LlamaIndex, Transformers, PyTorch, TensorFlow, or similar ecosystems.
  • Experience integrating with model providers and enterprise AI platforms such as Azure OpenAI, OpenAI, Anthropic, AWS Bedrock, Meta/Llama, Mistral, or similar services.
  • Experience with enterprise data platforms and storage technologies, including SQL and NoSQL databases, search technologies, vector databases, and modern lakehouse or warehouse platforms.
  • Working knowledge of Microsoft Fabric and the broader Microsoft ecosystem, including Azure services, Power Platform, Copilot Studio, Microsoft 365 integrations, and enterprise data environments.
  • Familiarity with cloud and data engineering concepts across Azure, AWS, GCP, Databricks, Docker, Kubernetes, CI/CD, orchestration, and modern data pipelines.
  • Ability to work across structured and unstructured enterprise data to support AI use cases in internal business environments.
  • Understanding of operational excellence for AI systems, including monitoring, debugging, performance optimization, governance, security, and responsible AI practices.
  • Strong communication skills, product mindset, stakeholder collaboration, and the ability to operate effectively in cross-functional enterprise transformation initiatives.
  • BS, MS, or PhD in Computer Science, Electrical Engineering, Mathematics, Data Science, or equivalent professional experience.
What Makes You Eligible
  • Be willing to work in an office located in Novi, MI (hybrid)
  • Successfully complete a background investigation and drug screen as a condition of employment

What We Offer
  • Access to employee discounts on world-class products (JBL, HARMAN Kardon, AKG, and more)
  • Extensive training opportunities through our own HARMAN University
  • Competitive wellness benefits
  • Tuition reimbursement
  • "Be Brilliant" employee recognition and rewards program
  • An inclusive and diverse work environment that fosters and encourages professional and personal development

#Hybrid
#LI-AA1
Pay Transparency
$ 90,750 - $ 133,100
Dependent on the position offered, other forms of compensation are also available, such as bonuses or commission.
Pay is based on a wide range of factors, including, without limitation, skill set, experience, training, location, and business need. While the above range is a reasonable estimate of the wage range for this position, please note the disclosed range estimate has not been adjusted for the applicable geographical differential associated with the location where the position may be filled.
Benefits
HARMAN is interested in the health and wellbeing of you and your family and offers a range of benefits designed to support your needs for holistic wellbeing. Benefits and perks may vary depending on the nature of your employment with HARMAN, and may include paid vacation and holidays, paid sick leave, volunteer leave, and paid bonding and care giver leave. Employees may also be eligible to participate in comprehensive medical, dental, and vision plans, fertility support and adoption assistance, Health Savings and Flexible Spending Accounts, retirement savings plan with employer match, short and long term disability coverage, life insurance, and more.
About HARMAN: Where Innovation Unleashes Next-Level Technology
Ever since the 1920s, we've been amplifying the sense of sound. Today, that legacy endures, with integrated technology platforms that make the world smarter, safer, and more connected.
Across automotive, lifestyle, and digital transformation solutions, we create innovative technologies that turn ordinary moments into extraordinary experiences. Our renowned automotive and lifestyle solutions can be found everywhere, from the music we play in our cars and homes to venues that feature today's most sought-after performers, while our digital transformation solutions serve humanity by addressing the world's ever-evolving needs and demands. Marketing our award-winning portfolio under 16 iconic brands, such as JBL, Mark Levinson, and Revel, we set ourselves apart by exceeding the highest engineering and design standards for our customers, our partners and each other.
If you're ready to innovate and do work that makes a lasting impact, join our talent community today!
Important Notice: Recruitment Scams
Please be aware that HARMAN recruiters will always communicate with you from an '@harman.com', '@careers.harman.com' or '@harmanglobal.avature.net' email address. We will never ask for payments, banking, credit card, personal financial information or access to your LinkedIn/email account during the screening, interview, or recruitment process. If you are asked for such information or receive communication from an email address not ending in one of the above email domains about a job with HARMAN, please cease communication immediately and report the incident to us through: harmancareers@harman.com.
You Belong Here
HARMAN is committed to making every employee feel welcomed, valued, and empowered. No matter what role you play, we encourage you to share your ideas, voice your distinct perspective, and bring your whole self with you - all within a support-minded culture that celebrates what makes each of us unique. We also recognize that learning is a lifelong pursuit and want you to flourish. We proudly offer added opportunities for training, development, and continuing education, further empowering you to live the career you want.
HARMAN is proud to be an Equal Opportunity employer. HARMAN strives to hire the best qualified candidates and is committed to building a workforce representative of the diverse marketplaces and communities of our global colleagues and customers. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. HARMAN attracts, hires, and develops employees based on merit, qualifications and job-related performance.(www.harman.com)
HARMAN is committed to providing reasonable accommodations to applicants with disabilities. If you need assistance or an accommodation during the application process, please contact us at harmancareers@harman.com. Requests will be considered on a case-by-case basis in accordance with applicable law.