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Generative Ai Developer Jobs in Minnesota (NOW HIRING)

US Bank

Lead AI Platform Engineer

Minneapolis, MN · On-site

$107K - $140K/yr

Job Summary The Lead Engineer (Generative AI) is a senior technical role responsible for designing, developing, and operationalizing enterprise-scale Generative AI (GenAI) solutions. This position ...

US Bank

Lead AI Platform Engineer

Hopkins, MN · On-site

$104K - $137K/yr

Job Summary The Lead Engineer (Generative AI) is a senior technical role responsible for designing, developing, and operationalizing enterprise-scale Generative AI (GenAI) solutions. This position ...

Deloitte

Oracle Gen AI Manager

Minneapolis, MN

Deloitte Oracle Generative AI Architect Managers help clients delineate strategy and vision, design ... Identify high-value AI use cases and guide teams on prompt engineering, model selection, and model ...

Mortenson

AI Engineer

Minneapolis, MN · On-site

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 ...

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How much do generative ai developer jobs pay per hour?

As of Jul 14, 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 rapidly growing field with high demand for skilled developers who can create and optimize AI models using tools like deep learning frameworks. Careers in this area often require knowledge of machine learning, programming, and data handling, offering opportunities in tech companies, research, and startups. The field provides competitive salaries and continuous learning opportunities due to its evolving nature.

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 set. Senior developers with expertise in machine learning frameworks and deep learning may earn higher compensation, especially in tech hubs or companies with advanced AI projects.

What does a generative AI developer do?

A generative AI developer designs and builds algorithms that enable machines to create content such as text, images, or audio. They work with machine learning frameworks, train models on large datasets, and optimize algorithms for performance and accuracy, often using tools like Python and TensorFlow or PyTorch.

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 common in top tech companies or specialized AI firms for highly skilled professionals.

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.
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:
Generative Ai Developer jobs near you
AI/ML Engineer - Python / Agentic AI - Remote Nationwide or Hybrid in MN/DC

AI/ML Engineer - Python / Agentic AI - Remote Nationwide or Hybrid in MN/DC

UnitedHealth Group

Minnetonka, MN • On-site, Remote

Full-time

Retirement

Posted 29 days ago

UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 145 frontline employees who took The Breakroom Quiz

191st of 884 rated healthcare providers

Job description

Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care's most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together.
We are seeking an AI/ML Engineer with deep expertise in Generative AI technologies to develop and deploy cutting-edge solutions within the Optum Care Strategic Platform (Facets). The ideal candidate will have hands-on experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI, and frameworks such as LangGraph and LangChain. Strong proficiency in Python along with Software Engineering background using SQL and API development are essential. This role will involve close collaboration with Claims Operations.
You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.
Primary Responsibilities:
  • Be able to understand the Facets Delivery, Client priority and requirements
  • Proven Good in adapting & adopting new technology footprints to optimize business solutions using AI Adoption
  • Apply a solid understanding of Agentic AI concepts and frameworks such as LangGraph and LangChain to design and implement intelligent, autonomous systems
  • Utilize expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Transformer architectures to build scalable and high-performing AI solutions
  • Develop sophisticated generative AI algorithms and models to create new data samples, patterns, or content based on existing datasets and user inputs
  • Build and maintain robust APIs using frameworks such as FastAPI to enable seamless integration of AI services
  • Develop secure, maintainable software using SQL and modern engineering patterns
  • Deploy AI/ML solutions in production environments, preferably on cloud platforms like Azure
  • Implement machine learning and natural language processing projects from concept to production
  • Conduct rigorous model testing, validation, and performance optimization
  • Containerize AI/ML projects and implement CI/CD pipelines using tools like GitHub Actions
  • Collaborate with stakeholders to preprocess, analyze, and interpret large-scale datasets
  • Stay current with emerging trends and advancements in generative AI and ML technologies
  • Mentor and lead other engineers to reach their potential
  • Ensure code quality and security by identifying and resolving vulnerabilities
  • Maintain solid programming practices and standards
  • Provide timely updates on tasks to reporting supervisor
  • Adherence to the defined SLA Compliance etc
  • Provide support and leadership in critical production support issue resolution
  • Participate in on-call rotations as scheduled
  • Work with team to achieve timely resolution of all production issues meeting or exceeding Service Level Agreements

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications:
  • Undergraduate degree or equivalent experience
  • 3+ years of experience in Python programming
  • 2+ years of experience with build, Deploying and manage ML models on cloud platforms such as Microsoft Azure or any other Cloud platform
  • 2+ years of Database Design/Programming
  • 1+ years of Terraform scripts understanding
  • 1+ years of Git action and CI/CD experience needed

Preferred Qualifications:
  • 2+ years of software engineering and testing experience in C# / .Net programming language
  • Healthcare Claims EDI Experience
  • Prompt engineering experience
  • Experience leveraging Large Language Models (LLMs)
  • Experience working with various AI/ML infrastructure, tools and platforms across the full stack of AI/ML technology
  • Experience with the challenges of delivering and monitoring LLM based cloud systems into production
  • Proven solid communication skills with the ability to explain complex technical concepts to diverse audiences

*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy.
Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $98,500 to $176,000 annually based on full-time employment. We comply with all minimum wage laws as applicable.
Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.
UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.
UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.

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