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Remote Generative Ai Jobs in Minnesota (NOW HIRING)

The position also uses generative AI, market and competitive research, and performance data to improve marketing execution and decision-making. This is a remote role eligible to anyone in the U.S ...

The position also uses generative AI, market and competitive research, and performance data to improve marketing execution and decision-making. This is a remote role eligible to anyone in the U.S ...

Senior Software Engineer

Eden Prairie, MN · Remote

$124K - $164K/yr

Remote: You'll enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on ... Design, build, and deliver production-grade Agentic AI and Generative AI platforms, including deep ...

Senior Software Engineer

Eden Prairie, MN · Remote

$124K - $164K/yr

Remote: You'll enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on ... Design, build, and deliver production-grade Agentic AI and Generative AI platforms, including deep ...

Showing results 41-60

Remote Generative Ai information

What is a remote generative AI?

A Remote Generative AI job involves working with artificial intelligence systems that can create new content, such as text, images, or music, from data. These roles are performed remotely, allowing professionals to work from anywhere while developing, training, and deploying generative models like GPT or DALL-E. Job responsibilities may include data preparation, model training, evaluation, and integrating generative AI solutions into products or services. Professionals in this field often collaborate with teams online using cloud-based tools and communication platforms.

What skills and qualifications are needed to thrive as a remote generative AI specialist?

To thrive as a Remote Generative AI Specialist, you need strong expertise in machine learning, deep learning, and programming languages like Python, often supported by a degree in computer science or a related field. Proficiency with frameworks such as TensorFlow or PyTorch, cloud platforms, and relevant certifications (e.g., Google Cloud ML Engineer) is highly beneficial. Effective problem-solving, self-motivation, and clear communication are crucial for collaborating remotely and driving innovative AI solutions. These skills ensure you can develop, deploy, and improve generative AI models efficiently in distributed work environments.

What are common challenges faced by remote generative AI professionals and how can they be addressed?

Remote Generative AI professionals often face challenges such as collaborating effectively across time zones, ensuring data security, and staying updated with rapidly evolving AI technologies. To overcome these, it's important to establish clear communication channels, utilize version control and collaboration tools, and participate in regular team meetings. Additionally, investing time in continuous learning through online courses and AI research communities can help professionals stay current with industry advancements.

What is the difference between Remote Generative Ai vs Data Scientist?

AspectRemote Generative AiData Scientist
Required CredentialsKnowledge of AI/ML, programming skills, familiarity with NLP and deep learningStatistics, programming, data analysis, often a degree in CS, stats, or related fields
Work EnvironmentRemote, collaborative teams, AI research labs, tech companiesRemote or on-site, data analysis teams, research or business units
Industry UsageDeveloping AI models, creating generative content, NLP applicationsAnalyzing data, building predictive models, informing business decisions

Remote Generative Ai specialists focus on creating AI models that generate content, requiring expertise in AI/ML and programming. Data Scientists analyze data to extract insights and build models, often with similar technical backgrounds. While both roles may work remotely and in tech industries, their core functions differ: one develops generative AI systems, the other interprets data for strategic insights.

What are the best remote generative AI jobs?

Remote generative AI jobs include roles such as AI research scientist, machine learning engineer, and data scientist, focusing on developing and deploying AI models like GPT or DALL·E. These positions often require skills in programming, deep learning frameworks, and experience with large language models, with many opportunities available through tech companies, research institutions, and startups. They typically offer flexible schedules and may require certifications or advanced degrees in computer science or related fields.

What jobs can I get with remote generative AI?

Remote generative AI skills can qualify you for roles such as AI content developer, machine learning engineer, data scientist, or AI research scientist. These positions often require knowledge of AI frameworks, programming languages like Python, and experience with large language models or neural networks. Many of these jobs are available in tech companies, research institutions, and startups, often with flexible schedules and remote work options.

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

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

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

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

What job categories do people searching Remote Generative Ai jobs in Minnesota look for?

The top searched job categories for Remote Generative Ai jobs in Minnesota are:

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

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

Infographic showing various Remote Generative Ai job openings in Minnesota as of September 2026, with employment types broken down into 1% Internship, 72% Full Time, 25% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

Lead AI/ML Engineer - Remote

Eden Prairie, MN • Remote

UnitedHealth Group
Insurance Services • 10K+ employees

$145K - $249K/yr

Full-time

Retirement

Re-posted 23 days ago


UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 146 frontline employees who took The Breakroom Quiz


Job description

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.    

As a Lead AI/ML Engineer on the Optum Rx technology team in Eden Prairie, MN, you will lead the architectural design, development, and enterprise deployment of advanced machine learning models and AI-driven solutions that transform pharmacy benefit management, medication access, and prescription fulfillment operations. In this role, you will collaborate closely with data science, software engineering, and business leaders to solve complex health technology problems, automate key workflows, and scale robust, secure AI solutions across our digital pharmacy platforms.

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:

  • Design, develop, and deploy scalable, production-grade AI-powered solutions and machine learning architectures to address complex business challenges in pharmacy services, with a strong emphasis on responsible and ethical AI
  • Leverage enterprise-approved AI tools, automation platforms, and MLOps practices to streamline software engineering workflows, automate tasks, and drive continuous operational improvement
  • Evaluate emerging technology trends, Generative AI models, and machine learning techniques to inform solution design, platform architecture, and strategic enterprise innovation
  • Lead the end-to-end lifecycle of machine learning systems, including data engineering, model training, validation, containerized deployment, and real-time model monitoring
  • Partner with cross-functional teams, data scientists, and business leaders to translate healthcare requirements into reliable, high-performance AI services and microservices
  • Provide technical leadership, architectural guidance, and code reviews, establishing best practices and mentoring engineering team members

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:

  • Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related technical field, OR 4 years of equivalent software engineering experience
  • 5 years of software engineering experience with a strong focus on building, scaling, and deploying machine learning models and AI systems
  • 3 years of experience designing, implementing, and managing production MLOps workflows, ML pipelines, and automated deployment architectures
  • 3 years of experience programming in Python and utilizing core ML/DL frameworks (e.g., PyTorch, TensorFlow, scikit-learn)
  • 2 years of hands-on experience with cloud platform infrastructure (e.g., AWS, Azure, GCP) and containerization/orchestration technologies (e.g., Docker, Kubernetes)
  • 2 years of experience with big data technology stacks (e.g., Spark) and database systems (SQL/NoSQL)

Preferred Qualifications:

  • Master's or Ph.D. degree in Computer Science, Artificial Intelligence, Machine Learning, or related quantitative field
  • Experience building and deploying Generative AI applications, Large Language Models (LLMs), and retrieval-augmented generation (RAG) patterns in cloud environments
  • Experience working with pharmacy benefit management (PBM) data, clinical workflows, healthcare transaction systems, or HIPAA compliance standards
  • Solid knowledge of Infrastructure as Code (IaC) tools (e.g., Terraform) and continuous integration/continuous deployment (CI/CD) practices
  • Proven leadership experience guiding cross-functional technical projects and mentoring mid-level engineers

*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 $145,500 - $249,500 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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