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Generative Ai Developer Jobs in Minnesota (NOW HIRING)

Senior AI Engineer

Minneapolis, MN · On-site

$57.75 - $74.25/hr

This role empowers teams to leverage emerging AI capabilities such as agentic patterns, generative AI developer tooling, and secure orchestration to deliver innovative solutions that transform ...

AI Engineer - AI/ML

Minnetonka, MN · On-site

$116K - $140K/yr

Design, develop, and deploy AI/ML and Generative AI models for predictive, prescriptive, and ... Strong understanding of Agile methodologies and DevOps practices * Internal Data management and big ...

AI Engineer - AI/ML

Minnetonka, MN · Hybrid

$116K - $140K/yr

Design, develop, and deploy AI/ML and Generative AI models for predictive, prescriptive, and ... Strong understanding of Agile methodologies and DevOps practices * Internal Data management and big ...

... Generative AI service Bachelor's degree in Computer Science, Engineering, or a related field Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you ...

This role requires strong expertise in Generative AI, RAG (Retrieval-Augmented Generation), and ... optimization 7. DevOps & Production Readiness Experience with CI/CD (GitLab, Jenkins ...

AI Engineer

Minneapolis, MN · On-site

$69K - $134K/yr

Role & Responsibility Generative AI Solutioning * Lead the identification and analysis of complex ... Mentor junior engineers through code reviews, technical guidance, and knowledge-sharing initiatives.

AI Engineer

Minneapolis, MN · On-site

$69K - $134K/yr

Role & Responsibility Generative AI Solutioning * Lead the identification and analysis of complex ... Mentor junior engineers through code reviews, technical guidance, and knowledge-sharing initiatives.

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Generative Ai Developer information

See Minnesota salary details

$18

$44

$98

How much do generative ai developer jobs pay per hour?

As of Jun 21, 2026, the average hourly pay for generative ai developer in Minnesota is $44.36, according to ZipRecruiter salary data. Most workers in this role earn between $23.08 and $53.70 per hour, depending on experience, location, and employer.

What are some common challenges faced by Generative AI Developers when deploying models in production environments?

Generative AI Developers often encounter challenges such as ensuring model reliability, managing computational resource requirements, and addressing ethical considerations like data bias or content safety. Deploying generative models at scale requires robust monitoring to detect unexpected outputs or model drift, and collaboration with data engineers and product teams to optimize performance. Staying up-to-date with evolving frameworks and best practices is essential, as production environments demand both technical rigor and adaptability to new AI advancements.

What are the key skills and qualifications needed to thrive as a Generative AI Developer, and why are they important?

To thrive as a Generative AI Developer, you need strong programming skills (especially in Python), a deep understanding of machine learning concepts, and an advanced degree in computer science or a related field. Familiarity with frameworks like TensorFlow, PyTorch, and experience with cloud platforms or model deployment tools are typically required. Creative problem-solving, adaptability, and effective collaboration are standout soft skills in this evolving field. These abilities are crucial to design, implement, and refine generative models that solve real-world problems and drive innovation.

Is generative AI a good career?

Generative AI is a growing field with increasing demand for developers skilled in machine learning, deep learning, and neural networks. Careers in this area often require knowledge of programming languages like Python and familiarity with AI frameworks such as TensorFlow or PyTorch, offering opportunities in technology, research, and industry applications.

What is the difference between Generative Ai Developer vs Machine Learning Engineer?

AspectGenerative Ai DeveloperMachine Learning Engineer
CredentialsBachelor's or higher in CS, AI, or related fields; experience with deep learning frameworksBachelor's or higher in CS, Data Science, or related fields; strong programming skills
Work EnvironmentDevelops AI models for content creation, chatbots, and creative applicationsBuilds and deploys ML models for various data-driven solutions across industries
Industry UsageTech, entertainment, marketing, and creative sectorsFinance, healthcare, tech, and e-commerce sectors

While both roles involve AI and machine learning, Generative Ai Developers focus on creating models that generate content, such as images or text, whereas Machine Learning Engineers develop broader ML solutions for diverse applications. The roles often overlap but differ mainly in their specific focus areas and use cases.

What is the salary of a generative AI developer?

The salary of a generative AI developer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with expertise in deep learning frameworks and large language models can earn higher compensation, often exceeding $180,000. Many positions also offer benefits such as bonuses, stock options, and flexible schedules.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence development, such as a senior Generative AI Developer or AI research lead, often involving advanced skills in machine learning, deep learning, and large language models. These roles usually require extensive experience, specialized knowledge, and may include responsibilities like designing AI systems, managing teams, or overseeing AI strategy in organizations with competitive compensation packages. Such salaries are rare and generally found in top tech companies or specialized AI firms.

What is a Generative AI Developer?

A Generative AI Developer is a technology professional who specializes in designing, building, and deploying artificial intelligence systems that can create new content, such as text, images, audio, or code. They work with advanced machine learning models, like generative adversarial networks (GANs) or large language models, to enable computers to produce original outputs. These developers often collaborate with data scientists, researchers, and product teams to integrate AI-generated content into software applications and business solutions.

Which 3 jobs will survive AI?

For a Generative AI Developer, roles that require complex human judgment, creativity, and emotional intelligence are likely to persist, such as AI ethics specialists, creative professionals, and strategic consultants. These jobs involve nuanced decision-making and interpersonal skills that AI cannot fully replicate. Continuous learning and expertise in AI tools and programming languages will also help ensure job security in this field.
What are popular job titles related to Generative Ai Developer jobs in Minnesota? For Generative Ai Developer jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Generative Ai Developer jobs in Minnesota look for? The top searched job categories for Generative Ai Developer jobs in Minnesota are:
What cities in Minnesota are hiring for Generative Ai Developer jobs? Cities in Minnesota with the most Generative Ai Developer job openings:
Infographic showing various Generative Ai Developer job openings in Minnesota as of June 2026, with employment types broken down into 97% Full Time, 2% Part Time, and 1% Nights. Highlights an 65% Physical, 4% Hybrid, and 31% Remote job distribution, with an average salary of $92,260 per year, or $44.4 per hour.
Lead AI/ML Engineer

Lead AI/ML Engineer

Samprasoft

Eden Prairie, MN

$104K - $137K/yr

Other

Posted 10 days ago


Job description

Machine Learning Project Lead

Drive end-to-end machine learning projects that have a high degree of ambiguity, scale and complexity. Develop novel machine learning (ML) algorithms and indicators for time-series forecasting prediction, with applications in actuarial reserving and the development of affordability programs. Implement state-of-the-art machine learning models and evaluate their performance. Communicate the performance of the machine learning algorithms across an interdisciplinary team. Write both internal and external documentation of the novel algorithms, including publications in machine learning and other scientific conferences and journals. Develop our research and innovation agenda. Collaborate with the AI team and fellow scientists and engineers.

Required Skills: AI

Additional Skills: NLP Engineer, ML Engineer, ML Developer, Generative AI Developer, AI Developer

Background Check: No

Drug Screen: No