1

Generative Ai Engineer Jobs in Minnesota (NOW HIRING)

Generative AI Architect

Minneapolis, MN · On-site

$65.75 - $86.75/hr

... Generative AI and Agentic AI solutions. The architect will be responsible for building scalable ... Define prompt engineering, fine-tuning, and model evaluation strategies. * Architect AI solutions ...

Java Gen AI Engineer

Finland, MN · On-site

$81 - $127/hr

Translate Generative AI concepts, emerging technologies, and agentic approaches into practical, scalable, production-ready implementations. * Develop AI engineering solutions involving LLMs, AI tools ...

Rhythm Express is seeking an AI Engineer to join our team to develop and implement machine learning ... Generative AI knowledge lookup tools is a plus. We are a leading provider of remote cardiac ...

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 ...

Senior AI Engineer

Eden Prairie, MN · On-site

$120 - $160/hr

... generative and agentic AI solutions on a multi-cloud, multi-model stack. The ideal candidate is ... Partner with Systems Engineering, Security, and Data teams to integrate AI workloads with identity ...

AI Engineer - AI/ML

Minnetonka, MN · On-site

$116K - $140K/yr

We are seeking a highly skilled and motivated AI/ML Engineer to lead innovations in claims ... Design, develop, and deploy AI/ML and Generative AI models for predictive, prescriptive, and ...

AI Engineer - AI/ML

Minnetonka, MN · Hybrid

$116K - $140K/yr

We are seeking a highly skilled and motivated AI/ML Engineer to lead innovations in claims ... Design, develop, and deploy AI/ML and Generative AI models for predictive, prescriptive, and ...

AI Engineer

Minneapolis, MN · 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 ...

You are equally comfortable designing distributed services and applying Generative AI technologies to solve complex engineering and business problems. Youleveragestrong software engineering ...

Senior AI/ML Engineer

Eden Prairie, MN · On-site

$106K - $146K/yr

We are AI/ML scientists and engineers with deep expertise in AI/ML engineering for healthcare. We ... Design and deploy generative AI and NLP solutions using transformer-based architectures for ...

Senior AI/ML Engineer

Eden Prairie, MN · On-site +1

$106K - $146K/yr

We are AI/ML scientists and engineers with deep expertise in AI/ML engineering for healthcare. We ... Design and deploy generative AI and NLP solutions using transformer-based architectures for ...

AI Engineer

Minneapolis, MN · Hybrid

$85K - $128K/yr

Experience with LLMs, multimodal models, or generative AI (eg. Azure AI Foundry, Google Vertex ... ABOUT MORTENSON As a top builder, developer, and EPC (Engineering, Procurement, and Construction ...

Cloud/AI Engineer

Virginia, MN · On-site

$150 - $230/hr

... Generative AI capabilities including Large Language Models (LLMs), Retrieval-Augmented Generation ... Establish and promote architecture, engineering, security, and software development best practices ...

next page

Showing results 1-20

Generative Ai Engineer information

See Minnesota salary details

$37.2K

$113.5K

$187.6K

How much do generative ai engineer jobs pay per year?

As of Aug 26, 2026, the average yearly pay for generative ai engineer in Minnesota is $113,479.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,300.00 and $148,400.00 per year, depending on experience, location, and employer.

What is a generative AI engineer?

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 does a generative AI engineer do?

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 are the key skills and qualifications needed to thrive as a generative AI engineer?

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.

How do I become a generative AI engineer?

To become a generative AI engineer, you should have a strong foundation in programming languages such as Python, experience with machine learning frameworks like TensorFlow or PyTorch, and knowledge of deep learning models such as GANs or transformers. Gaining expertise through relevant coursework, online tutorials, and hands-on projects is essential, along with understanding data preprocessing and model evaluation. Building a portfolio of AI projects and staying updated with the latest research can also improve job prospects in this field.

What is the salary of a generative AI engineer?

The salary of a generative AI engineer typically ranges from $100,000 to $180,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in deep learning and machine learning frameworks may earn higher compensation, often including bonuses and stock options.

What are the most commonly searched types of Generative Ai Engineer jobs in Minnesota?

The most popular types of Generative Ai Engineer jobs in Minnesota are:

What are popular job titles related to Generative Ai Engineer jobs in Minnesota?

For Generative Ai Engineer jobs in Minnesota, the most frequently searched job titles are:

What cities in Minnesota are hiring for Generative Ai Engineer jobs?

Cities in Minnesota with the most Generative Ai Engineer job openings:

Infographic showing various Generative Ai Engineer job openings in Minnesota as of August 2026, with employment types broken down into 77% Full Time, 17% Part Time, and 6% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $113,479 per year, or $54.6 per hour.

Generative AI Architect

Minneapolis, MN • On-site

Prophecy Technologies
11 - 50 employees

$65.75 - $86.75/hr

Full-time

Re-posted 4 days ago


Job description

Role Overview:
This role focuses on defining enterprise AI architecture and target-state roadmaps, with a strong emphasis on designing and implementing Generative AI and Agentic AI solutions. The architect will be responsible for building scalable, secure, and high-performing AI solutions on leading cloud platforms, establishing governance, and providing technical leadership to development and AI engineering teams.
Key Responsibilities:
  • Define enterprise AI architecture and target-state roadmap.
  • Design scalable, secure, and high-performing AI solutions.
  • Evaluate and recommend AI platforms, frameworks, and tools.
  • Establish AI governance, security, compliance, and responsible AI practices.
  • Design and implement GenAI solutions using LLMs.
  • Build RAG (Retrieval-Augmented Generation) architectures.
  • Design AI Agents and multi-agent orchestration frameworks.
  • Define prompt engineering, fine-tuning, and model evaluation strategies.
  • Architect AI solutions on Azure AI Foundry, Azure OpenAI, AWS Bedrock, or similar platforms.
  • Design integrations between enterprise applications and AI services.
  • Establish MLOps and LLMOps frameworks for deployment and monitoring.
  • Lead architecture reviews and solution design workshops.
  • Mentor development and AI engineering teams.
  • Support client discussions, PoCs, and solution proposals.

Required Skills:
  • Expertise as an AI Developer (Architect).
  • Proficiency in Digital Artificial Intelligence (AI).

Qualifications:
  • 4-6 years of experience.

Preferred Skills:
  • None specified.