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Generative Ai Jobs in Novi, MI (NOW HIRING)

EPSoft Technologies

AI engineer

Dearborn, MI · On-site

$89K - $122K/yr

Experience with Generative AI - LLM and building frontend with React / Chainlit / Streamlit. * Experience in supporting continuous improvement by investigating development alternatives. * Experience ...

Stellantis

AI & Automation Engineer

Auburn Hills, MI · On-site

Build and implement AI-enabled solutions including generative AI use cases for requirements analysis, DVP creation, automated test generation, traceability, and validation evidence review * Integrate ...

General Motors

AI/ML Data Scientist (GPSSC)

Warren, MI · On-site

Prototype new AI solutions, including Generative AI, to solve business problems. * Develop new Agentic AI solutions to streamline business process * Ehnance existing model solutions as business and ...

SwiftCruit

Senior Engineer, AI

Novi, MI · On-site

$90.75 - $133.10/hr

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 ...

General Motors

AI/ML Data Scientist (GPSSC)

Warren, MI · On-site

Prototype new AI solutions, including Generative AI, to solve business problems. * Develop new Agentic AI solutions to streamline business process * Ehnance existing model solutions as business and ...

Maddisoft

AI Specialist

Rochester, MI · On-site

Hands-on experience with generative AI platforms such as Microsoft Copilot, ChatGPT, or Claude . * Understanding of AI governance, privacy, cybersecurity, and responsible AI. * Strong project ...

V2Soft

AI Specialist

Pontiac, MI · On-site

Experience with generative AI platforms such as ChatGPT, Copilot, or Claude. * Understanding of AI governance, privacy, cybersecurity, and responsible AI. * Strong project management, communication ...

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Generative Ai information

What is a generative AI?

A Generative AI job involves developing, fine-tuning, or deploying AI models that can create content such as text, images, music, or code. Professionals in this field work with machine learning frameworks, large language models, and neural networks to improve AI-generated outputs. Roles may include AI researchers, machine learning engineers, prompt engineers, or data scientists specializing in generative models. These jobs require expertise in programming (Python, TensorFlow, PyTorch), data processing, and AI ethics.

What does a generative AI specialist do?

A Generative AI Specialist typically focuses on designing, training, and fine-tuning generative models, such as those used for text, image, or audio generation. You may be responsible for researching the latest advancements, preparing datasets, evaluating model performance, and collaborating closely with data engineers, product managers, and software developers to integrate solutions into products. In many organizations, you’ll also participate in brainstorming sessions to explore new applications of generative AI, contribute to technical documentation, and support model monitoring or improvement post-deployment. This role requires a blend of technical expertise and teamwork, offering a dynamic environment where you can have a direct impact on cutting-edge innovation.

What are the key skills and qualifications needed to thrive in the generative AI position?

To thrive as a Generative AI Specialist, you need a strong background in machine learning, deep learning, and natural language processing, often supported by a relevant degree such as computer science or data science. Expertise with frameworks like TensorFlow or PyTorch, proficiency in Python, and knowledge of cloud platforms are commonly expected, with additional certifications in AI or related fields seen as valuable assets. Strong problem-solving abilities, creativity, and effective communication skills set top candidates apart. These skills are crucial for designing, developing, and deploying advanced generative models that address real-world business needs.

Is generative AI a career?

Generative AI is a growing field with roles such as AI engineer, research scientist, and data scientist focused on developing and improving AI models. Careers in this area typically require skills in machine learning, programming, and data analysis, and often involve working with tools like neural networks and deep learning frameworks.

What job categories do people searching Generative Ai jobs in Novi, MI look for?

The top searched job categories for Generative Ai jobs in Novi, MI are:

What cities near Novi, MI are hiring for Generative Ai jobs?

Cities near Novi, MI with the most Generative Ai job openings:

Generative Ai jobs near you
Infographic showing various Generative Ai job openings in Novi, MI as of August 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Rochester Hills, MI • On-site

Other

Re-posted 27 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply