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Remote Generative Ai Project Manager Jobs in Minnesota

A.C. Coy

Sr. AI Engineer/Architect (Remote)

Eagan, MN · Remote

Lead and/or develop project requirements from inception through completion for complex and highly ... Query, manage, and analyze data using both SQL and NoSQL database technologies. * A degree from an ...

A.C. Coy

Sr. AI Engineer/Architect (Remote)

Eagan, MN · On-site +1

Lead and/or develop project requirements from inception through completion for complex and highly ... Query, manage, and analyze data using both SQL and NoSQL database technologies. Qualifications * A ...

A.C. Coy

Sr. AI Engineer/Architect (Remote)

Eagan, MN · Remote

Lead and/or develop project requirements from inception through completion for complex and highly ... Query, manage, and analyze data using both SQL and NoSQL database technologies. Qualifications * A ...

UnitedHealth Group

Enterprise Architect - Remote

Minnetonka, MN · On-site +1

$70.25 - $90.75/hr

Experience with leadership and stakeholder management skills, with the ability to influence across ... Experience in Data Science, AI/ML, or Generative AI projects * Experience with cloud platforms ...

UnitedHealth Group

Enterprise Architect - Remote

Minnetonka, MN · On-site +1

$70.25 - $90.75/hr

Experience with leadership and stakeholder management skills, with the ability to influence across ... Experience in Data Science, AI/ML, or Generative AI projects * Experience with cloud platforms ...

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Remote Generative Ai Project Manager information

How does a Remote Generative AI Project Manager typically collaborate with cross-functional teams to ensure project success?

Remote Generative AI Project Managers frequently coordinate with data scientists, engineers, product managers, and stakeholders across different locations and time zones. They use a combination of virtual collaboration tools, regular video meetings, and project management platforms to track progress, clarify requirements, and address challenges as they arise. Effective communication and proactive status updates are essential to aligning team efforts, managing expectations, and ensuring timely delivery of AI-driven solutions. Establishing clear workflows and fostering a culture of transparency help maintain momentum and drive successful outcomes, even in a fully remote environment.

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

To thrive as a Remote Generative AI Project Manager, you need expertise in project management methodologies, a solid understanding of AI concepts, and a relevant degree or certification such as PMP or Agile. Familiarity with AI development tools, collaboration platforms like Jira or Asana, and cloud-based environments is typically required. Outstanding communication, problem-solving abilities, and the capacity to lead cross-functional remote teams are essential soft skills. These competencies ensure effective coordination, timely delivery of AI projects, and seamless collaboration in a remote work environment.

What are Remote Generative AI Project Managers?

Remote Generative AI Project Managers are professionals who oversee projects involving the development and implementation of generative artificial intelligence technologies, such as AI that creates text, images, or other content. They coordinate teams, manage timelines and budgets, and ensure project goals are met—all while working remotely. These managers often act as a bridge between technical teams and stakeholders, making sure projects align with business objectives. Their role requires a blend of project management skills, understanding of AI concepts, and the ability to work effectively in virtual environments.
What are popular job titles related to Remote Generative Ai Project Manager jobs in Minnesota? For Remote Generative Ai Project Manager jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Remote Generative Ai Project Manager jobs in Minnesota look for? The top searched job categories for Remote Generative Ai Project Manager jobs in Minnesota are:
What cities in Minnesota are hiring for Remote Generative Ai Project Manager jobs? Cities in Minnesota with the most Remote Generative Ai Project Manager job openings:
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Infographic showing various Remote Generative Ai Project Manager job openings in Minnesota as of July 2026, with employment types broken down into 74% Full Time, 23% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution.
Director, AI/ML Engineering - Remote

Director, AI/ML Engineering - Remote

UnitedHealth Group

Eden Prairie, MN • On-site, Remote

$134K - $230K/yr

Full-time

Retirement

Re-posted 23 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 886 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.
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:
  • Lead, mentor, and grow a team of engineers and data scientists specializing in generative AI, machine learning, and cloud-based solutions
  • Develop and execute a strategic roadmap for GenAI-driven initiatives aligned with PBM business goals
  • Oversee the architecture, development, and integration of GenAI models into PBM workflows such as prior authorization, formulary management, medication adherence, and claims processing
  • Collaborate cross-functionally with Product, Clinical, Data, and Compliance teams to identify high-impact AI use cases
  • Ensure compliance with HIPAA, HITECH, and other relevant healthcare regulations in all engineering practices and solutions
  • Establish best practices for model governance, data privacy, security, and responsible AI use
  • Evaluate and select appropriate GenAI technologies, frameworks, and vendors
  • Stay abreast of developments in generative AI, healthcare technology, and regulatory changes
  • Monitor performance and ROI of GenAI solutions, driving continuous improvement
  • Design, develop, and deploy AI-powered solutions using no-code, low-code, and advanced platforms, translating business needs into scalable applications that enhance products, workflows and decision-making

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 or Master's degree in Computer Science, Engineering, Data Science, or related field
  • 10+ years of engineering experience, including 3+ years leading AI/ML teams (preferably with GenAI project experience)
  • 5+ years of experience with cloud platforms (AWS, Azure, GCP), MLOps, and modern engineering practices
  • 5+ years of experience with Python, TensorFlow/PyTorch, and relevant GenAI libraries
  • 2+ years of experience and success deploying generative AI models (e.g., LLMs, foundation models) in production environments for over at least three projects
  • 1+ years of experience with regulatory requirements and data security in healthcare (HIPAA/HITECH)

Preferred Qualifications:
  • Experience in the healthcare or PBM industry along with a deep understanding of PBM workflows
  • Proven excellent leadership, communication, and stakeholder management skills

*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 $134,600 to $230,800 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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