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Remote Generative Ai Project Manager Jobs in Minnesota

... management of AI/ML solutions and Generative AI services. * Establish operational standards ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

Remote (Preferred locations Minneapolis, MN or Milwaukee, WI)Employment Type: Full-Time Are you ... Work hands-on with Generative AI, automation platforms, intelligent workflows, and emerging ...

Remote (Preferred locations Minneapolis, MN or Milwaukee, WI) Employment Type: Full-Time Are you ... Work hands-on with Generative AI, automation platforms, intelligent workflows, and emerging ...

... and generative AI use cases. In strong alignment with Enterprise Architecture and Data leadership ... functional projects, encouraging team member involvement in these activities) * Champions our ...

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Remote Generative Ai Project Manager information

What is a remote generative AI project manager?

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.

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 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:

Infographic showing various Remote Generative Ai Project Manager job openings in Minnesota as of August 2026, with employment types broken down into 85% Full Time, 12% Part Time, 2% Contract, and 1% Nights. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution.

Sr. Manager, AI/ML Engineering - Remote

Minnetonka, MN • On-site, Remote


UnitedHealth Group
Insurance Services • 10K+ employees

7.6

Company rating: 7.6 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

190th of 894 rated healthcare providers

Good employer

Recommended by students

Recommended by parents


Full-time

Retirement

Re-posted 6 days ago


Job description

At UnitedHealthcare, we're simplifying the health care experience, creating healthier communities and removing barriers to quality care. The work you do here impacts the lives of millions of people for the better. Come build the health care system of tomorrow, making it more responsive, affordable and optimized. Ready to make a difference? Join us to start Caring. Connecting. Growing together.
UnitedHealthcare is accelerating its next-generation AI transformation through Claims AI 10.0 and Enterprise Agentic AI initiatives. We are seeking a highly experienced Senior Manager AI/ML Engineering to lead multiple AI engineering teams responsible for building and scaling enterprise-grade AI, Generative AI, Agentic AI, and intelligent automation solutions.
This leader will oversee delivery of strategic AI platforms and business-critical AI products supporting claims automation, intelligent decision systems, knowledge-driven workflows, and healthcare operational transformation. The role requires a strong blend of technical leadership, organizational leadership, people management, platform strategy, delivery excellence, and enterprise AI governance.
The ideal candidate will have experience leading large-scale AI engineering organizations, driving AI platform adoption, managing complex cross-functional programs, and delivering measurable business outcomes using AI technologies.
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 AI/ML adoption across the team, driving innovative use of both Generative AI and traditional ML techniques
  • Design, develop, test, deploy, maintain, and continuously improve AI-powered software solutions to meet customer and business needs
  • Build responsible AI solutions and service components to support the Provider community, ensuring compliance with ethical and regulatory standards
  • Leverage emerging offerings from cloud service providers to enable efficient and cost effective AI solutions
  • Develop new features leveraging AI/ML, including Generative AI models, predictive analytics, and automation capabilities
  • Provide technical leadership for AI initiatives, including Chatbots and conversational AI solutions
  • Partner with product management, architects, and engineering leadership to deliver creative, scalable AI solutions for healthcare challenges
  • Drive alignment with enterprise AI strategies and ensure solutions meet business objectives and engineering best practices
  • Accountable for high-quality software deliverables and operational excellence
  • Mentor and train team members on AI/ML technologies, frameworks, and responsible AI practices
  • Collaborate with broader engineering teams to integrate AI into cloud modernization efforts and digital-first initiatives
  • Exercise independent judgment to prioritize, plan, and manage AI-related activities and projects

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, Artificial Intelligence, Machine Learning, Data Science, Engineering, or related technical field
  • 12+ years of software engineering experience
  • 8+ years of AI/ML engineering experience
  • 5+ years of experience managing engineering teams, managers, and technical leaders
  • 5+ years of experience delivering enterprise-scale AI, ML, Data, or Cloud platforms
  • 4+ years of hands-on experience with Generative AI, LLMs, NLP, and AI architecture
  • 3+ years of experience with Agentic AI, RAG, AI orchestration, and intelligent automation
  • Experience with AWS cloud-native services including Bedrock, SageMaker, Lambda, ECS/EKS, OpenSearch, and S3
  • Experience leading AI governance, model lifecycle management, operationalization, and production support processes
  • Solid Python development background and familiarity with enterprise-scale AI platforms

Preferred Qualifications:
  • Experience managing multi-million-dollar AI transformation programs
  • Exposure to healthcare payer, claims, provider operations, utilization management, or regulated industries
  • Experience driving enterprise cloud modernization and platform transformation initiatives
  • Solid executive communication, strategic planning, stakeholder management, and organizational leadership skills

#OptumTechPJ
*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 $148,900 - $255,300 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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