1

Generative Ai Developer Jobs in Maple Grove, MN (NOW HIRING)

Senior AI Engineer

Minneapolis, MN · Remote

$115K - $175K/yr

Build and operationalize generative AI solutions, including retrieval-augmented generation, and ... Working knowledge of data engineering, SQL, and feature engineering. * Experience with ML Ops ...

Define the right AI approach across machine learning and Generative AI initiatives * Establish ... Work closely with business, engineering, and data teams to deliver practical AI solutions * Provide ...

Customer AI Operations Engineer

Minneapolis, MN · On-site

$72K - $98K/yr

Trissential is seeking a Customer AI Operations Engineer to join our client's team and take ownership of the operational success of enterprise AI agents, virtual assistants, and generative AI ...

This role requires strong expertise in Generative AI, RAG (Retrieval-Augmented Generation), and ... optimization 7. DevOps & Production Readiness Experience with CI/CD (GitLab, Jenkins ...

Customer AI Operations Engineer

Minneapolis, MN · On-site +1

$72K - $98K/yr

Trissential is seeking a Customer AI Operations Engineer to join our client's team and take ownership of the operational success of enterprise AI agents, virtual assistants, and generative AI ...

Customer AI Operations Engineer

Minneapolis, MN · On-site +1

$72K - $98K/yr

Trissential is seeking a Customer AI Operations Engineer to join our client's team and take ownership of the operational success of enterprise AI agents, virtual assistants, and generative AI ...

Showing results 21-40

Generative Ai Developer information

See Maple Grove, MN salary details

$19

$46

$103

How much do generative ai developer jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for generative ai developer in Maple Grove, MN is $46.37, according to ZipRecruiter salary data. Most workers in this role earn between $24.13 and $56.11 per hour, depending on experience, location, and employer.

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 the key skills and qualifications needed to thrive as a generative AI developer?

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.

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 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.

How to become a generative AI developer?

To become a generative AI developer, you should have a strong foundation in programming languages like Python, experience with machine learning frameworks such as TensorFlow or PyTorch, and knowledge of neural network architectures like transformers. Gaining expertise in natural language processing and deep learning, along with practical experience through projects or internships, is essential. Certifications in AI or data science can also enhance your qualifications.

What job categories do people searching Generative Ai Developer jobs in Maple Grove, MN look for?

The top searched job categories for Generative Ai Developer jobs in Maple Grove, MN are:

What cities near Maple Grove, MN are hiring for Generative Ai Developer jobs?

Cities near Maple Grove, MN with the most Generative Ai Developer job openings:

Infographic showing various Generative Ai Developer job openings in Maple Grove, MN as of September 2026, with employment types broken down into 1% Internship, 77% Full Time, 19% Part Time, and 3% Contract. Highlights an 68% Physical, 4% Hybrid, and 28% Remote job distribution, with an average salary of $96,455 per year, or $46.4 per hour.

Sr. Manager, AI/ML Engineering - Remote

Minnetonka, MN • On-site, Remote

UnitedHealth Group
Insurance Services • 10K+ employees

Full-time

Retirement

Re-posted 24 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

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.   


What UnitedHealth Group employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom