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Senior Generative Ai Engineer Jobs in Minnesota (NOW HIRING)

AI Engineer - AI/ML

Minnetonka, MN · On-site

$116K - $140K/yr

We are seeking a highly skilled and motivated AI/ML Engineer to lead innovations in claims ... Design, develop, and deploy AI/ML and Generative AI models for predictive, prescriptive, and ...

Cloud/AI Engineer

Virginia, MN · On-site

$150 - $230/hr

This role serves as a senior technical leader responsible for modernizing legacy systems ... Generative AI capabilities including Large Language Models (LLMs), Retrieval-Augmented Generation ...

New

AI Engineer - AI/ML

Minnetonka, MN · Hybrid

$116K - $140K/yr

We are seeking a highly skilled and motivated AI/ML Engineer to lead innovations in claims ... Design, develop, and deploy AI/ML and Generative AI models for predictive, prescriptive, and ...

As a Senior Engineer, you serve as a specialist in the engineering team that supports the product ... Enable Generative AI use cases includingLLMs, RAG, embeddings, vector search, and agentic ...

AI Engineer

Minneapolis, MN · On-site

$50K - $112K/yr

... generative AI techniques, including prompt engineering, LLM evaluation, and fine-tuning, to develop production-ready applications powered by foundation models - Developing automated evaluation ...

Senior Inference Engineer - AI

Eagan, MN · Hybrid

$106K - $146K/yr

This role ensures that our trained models-from classical ML to generative AI-run efficiently across ... role, Senior Inference Engineer, AI , if your background includes: * 5+ years of relevant ...

Senior Inference Engineer - AI

Eagan, MN · On-site

$106K - $146K/yr

This role ensures that our trained models-from classical ML to generative AI-run efficiently across ... role, Senior Inference Engineer, AI , if your background includes: * 5+ years of relevant ...

We are seeking a Senior AI/ML Engineer with strong hands-on experience designing, building, evaluating, and deploying production-grade AI/ML and Generative AI solutions. This role will focus on ...

New

AI Engineer

Minneapolis, MN · Hybrid

$85K - $128K/yr

Experience with LLMs, multimodal models, or generative AI (eg. Azure AI Foundry, Google Vertex ... ABOUT MORTENSON As a top builder, developer, and EPC (Engineering, Procurement, and Construction ...

Senior AI Engineer

Minneapolis, MN · On-site

$150 - $200/hr

Posted Tuesday, August 4, 2026 at 4:00 AM | Expires Tuesday, August 25, 2026 at 3:59 AM Position Summary The Senior AI Engineer will own the end-to-end technical lifecycle of enterprise AI models ...

Senior Software Engineer

Minneapolis, MN · On-site +1

$127K - $168K/yr

The Senior Software Engineer designs, builds, and maintains the technical systems and application ... Lead the evaluation, integration, and responsible deployment of generative AI capabilities within ...

Senior Software Engineer

Minneapolis, MN · On-site +1

$127K - $168K/yr

The Senior Software Engineer designs, builds, and maintains the technical systems and application ... Lead the evaluation, integration, and responsible deployment of generative AI capabilities within ...

Showing results 21-40

Senior Generative Ai Engineer information

What does a senior generative AI engineer do?

A Senior Generative AI Engineer designs, develops, and implements advanced artificial intelligence models, particularly those focused on generating content such as text, images, or audio. They work with large datasets, build and fine-tune generative models like GPT or diffusion models, and oversee the deployment of these systems into production environments. Additionally, they collaborate with cross-functional teams to integrate AI capabilities into products, optimize model performance, and ensure ethical AI practices are followed.

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

To thrive as a Senior Generative AI Engineer, you need deep expertise in machine learning, deep learning, and natural language processing, typically backed by an advanced degree in computer science or related fields. Proficiency in frameworks like TensorFlow or PyTorch, experience with cloud platforms (e.g., AWS, Azure), and familiarity with large language models are essential, along with relevant certifications. Strong problem-solving skills, creativity, and effective communication set standout engineers apart in this role. These skills and qualities are crucial for designing innovative AI solutions, collaborating across teams, and advancing the capabilities of generative models in real-world applications.

What are some of the unique challenges senior generative AI engineers face when deploying models in production environments?

Senior Generative AI Engineers often encounter challenges such as ensuring model reliability, addressing biases in generated outputs, and managing the significant computational resources required for deployment. There's also a strong need to collaborate with cross-functional teams, including data engineers, product managers, and domain experts, to ensure the solutions align with business goals and maintain user trust. Balancing innovation with ethical considerations and scalability is crucial in this fast-evolving field.

What is the difference between Senior Generative Ai Engineer vs Machine Learning Engineer?

AspectSenior Generative Ai EngineerMachine Learning Engineer
Required CredentialsBachelor's/Master's in CS, AI, or related; experience with generative modelsBachelor's/Master's in CS, Data Science, or related; strong ML fundamentals
Work EnvironmentResearch and development focused, often in AI startups or tech companiesData analysis, model development, often across various industries
Employer & Industry UsageTech firms, AI startups, research institutionsTech, finance, healthcare, and other sectors utilizing ML solutions

The main difference is that Senior Generative Ai Engineers specialize in developing and optimizing generative models like GPT or GANs, focusing on AI creativity and content generation. Machine Learning Engineers have a broader scope, working on various ML algorithms and applications across multiple industries. Both roles require strong technical skills, but the Senior Generative Ai Engineer's expertise is more specialized in generative AI technologies.

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

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

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

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

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

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

What cities in Minnesota are hiring for Senior Generative Ai Engineer jobs?

Cities in Minnesota with the most Senior Generative Ai Engineer job openings:

Senior AI ML Engineer - Remote

UnitedHealth Group

Eden Prairie, MN • On-site, Remote

$124K - $164K/yr

Full-time

Retirement

Re-posted 3 days ago


UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

191st of 891 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.
Optum Health is a patient-centered care organization serving communities nationwide by enabling high-quality, fully accountable, value-based care as part of Optum's mission to help millions of people live healthier lives. The work you do with our team directly improves health outcomes by connecting people with the care, resources, and support they need to feel their best. Join us to start Caring. Connecting. Growing together.
Position Summary
As a Senior AI/ML Engineer within the Optum Health & Financial Tech AI team, you will design and build enterprise-scale generative AI applications and agentic workflows that solve complex health and financial technology challenges. You will collaborate with cross-functional partners to develop multi-step reasoning systems, implement advanced Retrieval-Augmented Generation (RAG) pipelines, and craft responsive, full-stack experiences using modern frameworks like React, Next.js, Python, and PostgreSQL. By deploying innovative AI technologies safely and responsibly, you will directly support our mission of delivering impactful, context-aware digital solutions that improve health outcomes and operational efficiency.
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 enterprise-scale AI-powered solutions and LLM-powered applications using modern GenAI frameworks and APIs with an emphasis on the responsible use of AI
  • Develop agentic AI workflows, multi-step reasoning systems (with tool usage and memory), and advanced Retrieval-Augmented Generation (RAG) pipelines
  • Design and develop responsive frontend applications using React and Nextjs, and build backend services, APIs, and microservices using Python and Nodejs
  • Build systems for document ingestion, chunking, embeddings, semantic search, and advanced retrieval strategies (hybrid search, GraphRAG, contextual enrichment)
  • Design and optimize relational data models using PostgreSQL and integrate vector databases with relational data sources for contextual responses
  • Define end-to-end architecture spanning frontend, backend, AI, and data layers, ensuring performance, scalability, and reliability
  • Lead technical decision-making, design reviews, and code reviews, while mentoring junior engineers in AI engineering and full-stack best practices
  • Use enterprise-approved AI tools to streamline developer workflows, automate tasks, and drive continuous improvement across the development lifecycle
  • Evaluate emerging AI trends, frameworks, tools, and technologies to inform solution design, strategic innovation, and technical direction
  • Collaborate with product, business, and engineering teams to translate complex business requirements into scalable technical designs, communicating complex AI concepts to non-technical stakeholders

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 or equivalent experience (such as an additional 4+ years of software development experience in lieu of a degree)
  • 6+ years of professional experience in software engineering or AI/ML engineering
  • 4+ years of hands-on experience with frontend technologies (React, Nextjs) and backend development (Python or Nodejs, and REST APIs)
  • 3+ years of experience with relational database design and optimization using PostgreSQL
  • 2+ years of experience building and deploying end-to-end Generative AI and LLM-powered applications in production
  • 2+ years of experience designing and implementing RAG (Retrieval-Augmented Generation) pipelines, including semantic search, embeddings, and vector databases
  • 1+ years of experience with AI orchestration frameworks (such as LangChain, LangGraph, or CrewAI) or developing agentic, multi-agent AI workflows

Preferred Qualifications:
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related technical field
  • Experience implementing hybrid search strategies, GraphRAG, and contextual enrichment patterns for document retrieval
  • Deep understanding of distributed systems, microservices architecture, and enterprise application scalability
  • Solid expertise in designing AI evaluation metrics and establishing safety guardrails for reliable model outputs
  • Proven ability to mentor engineering teams, lead technical design reviews, and establish best practices in full-stack and AI development
  • Proven excellent cross-functional communication skills, with the ability to translate complex technical AI concepts into clear business insights for stakeholders

*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 $120,100 - $214,500 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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