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Genai Engineer Jobs in Minnesota (NOW HIRING)

UnitedHealth Group

Senior Quality Engineer

Minnetonka, MN · Remote

$90K - $122K/yr

Quality engineering leadership: Lead the QE strategy and drive end-to-end test automation across ... AI/GenAI validation: Develop validation frameworks for LLM response quality, accuracy, consistency ...

UnitedHealth Group

Senior Quality Engineer

Minnetonka, MN · On-site

$90K - $122K/yr

Quality engineering leadership: Lead the QE strategy and drive end-to-end test automation across ... AI/GenAI validation: Develop validation frameworks for LLM response quality, accuracy, consistency ...

Pwc

AI & GenAI Data Scientist-Director

Minneapolis, MN · On-site

$155K - $410K/yr

... AI & GenAI Data Scientist-Director, you will leverage advanced technologies and techniques to ... Within our Data and Analytics Engineering practice, you will apply data, algorithms, and software ...

Stanley David and Associates

GEN AI Developer

Minneapolis, MN · On-site

$53.25 - $69/hr

... GenAI Application Engineer with strong core development skills in Java, Spring Boot, APIs, and Microservices • At least one must have concrete machine learning experience. • At least 2 should ...

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Genai Engineer information

What are some typical challenges a GenAI engineer faces when deploying AI models in production environments?

GenAI Engineers often encounter challenges such as ensuring model scalability, addressing bias in generated outputs, and maintaining performance consistency in real-world applications. Deploying generative AI models requires careful monitoring to prevent unexpected or inappropriate outputs, as well as efficient resource management to handle large-scale computations. Collaborating closely with data engineers, product managers, and ML operations teams is essential to streamline deployment pipelines and quickly resolve issues that arise in live environments.

What is a GenAI engineer?

A GenAI Engineer is a professional who specializes in designing, developing, and deploying generative artificial intelligence (AI) models and applications. This role involves working with advanced machine learning techniques, such as large language models and generative adversarial networks, to create systems that can generate text, images, code, or other content. GenAI Engineers collaborate with data scientists, software engineers, and product teams to integrate AI capabilities into products and services, ensuring ethical use and scalability. They also stay updated on the latest developments in AI research to continually improve model performance and effectiveness.

What is the difference between Genai Engineer vs Data Scientist?

AspectGenai EngineerData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; experience with AI/ML frameworksDegree in Data Science, Statistics, or related fields; strong programming skills
Work EnvironmentDevelops AI models, fine-tunes generative AI systems, collaborates with AI teamsAnalyzes data, builds predictive models, interprets complex datasets
Employer & Industry UsageTech companies, AI startups, research labs focusing on generative AIFinance, healthcare, marketing, and tech firms analyzing data for insights

While both roles require strong technical skills and a background in data or AI, Genai Engineers focus on developing and deploying generative AI models, whereas Data Scientists analyze data to extract insights and build predictive models. The roles often overlap but serve different primary functions within AI and data-driven organizations.

What are the key skills and qualifications needed to thrive as a GenAI engineer, and why are they important?

To thrive as a GenAI Engineer, you need expertise in machine learning, deep learning, and programming languages such as Python, along with a solid understanding of generative models like GANs and transformers. Familiarity with frameworks such as TensorFlow or PyTorch, and experience with cloud platforms and MLOps tools, are highly valuable; advanced degrees or certifications in AI or data science are often preferred. Strong problem-solving, creativity, and communication skills help GenAI Engineers design innovative solutions and effectively collaborate with multidisciplinary teams. These skills ensure the development of robust, scalable generative AI systems that address complex real-world challenges.
What are popular job titles related to Genai Engineer jobs in Minnesota? For Genai Engineer jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Genai Engineer jobs in Minnesota look for? The top searched job categories for Genai Engineer jobs in Minnesota are:
What cities in Minnesota are hiring for Genai Engineer jobs? Cities in Minnesota with the most Genai Engineer job openings:
Genai Engineer jobs near you
Infographic showing various Genai Engineer job openings in Minnesota as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

Director, AI/ML Engineering

UnitedHealth Group

Eden Prairie, MN • On-site

$176K - $302K/yr

Full-time

Retirement

Posted 17 days ago

UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

189th of 887 rated healthcare providers

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.
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

Preferred Qualifications:
  • 1+ years of experience with regulatory requirements and data security in healthcare (HIPAA/HITECH)
  • Experience in the healthcare or PBM industry along with a deep understanding of PBM workflows
  • 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 $176,700 to $302,900 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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