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Ai Rag Jobs in Minnesota (NOW HIRING)

AI Engineer (Hybrid)

Saint Paul, MN · Hybrid

$105K - $145K/yr

Strong understanding of modern AI stacks including APIs, foundation models, vector databases, orchestration tools, and retrieval-augmented generation (RAG) patterns. * Ability to build ...

AI Engineer (Hybrid)

Saint Paul, MN · On-site

$105K - $145K/yr

Strong understanding of modern AI stacks including APIs, foundation models, vector databases, orchestration tools, and retrieval-augmented generation (RAG) patterns. * Ability to build ...

ASIC Gen-AI Data Scientist

Minneapolis, MN · On-site +1

$145K - $336K/yr

Practical experience in developing and implementing AI/ML systems involving LLMs, including RAG ... agentic workflows, and frameworks. Preferred Qualifications * Experience building agentic systems ...

Sr AI/ML Engineer - Remote

Minnetonka, MN · On-site +1

$106K - $146K/yr

Design and implement retrieval-augmented generation (RAG) pipelines that integrate enterprise knowledge sources, vector search, embeddings, and LLM orchestration patterns * Support agentic AI ...

ASIC Gen-AI Data Scientist

Minneapolis, MN · On-site +1

$119K - $286K/yr

Practical experience building and launching AI/ML systems involving LLMs, including RAG, agentic ... workflows, and frameworks. Preferred Qualifications * Experience building agentic systems or AI ...

AI Architect

Eden Prairie, MN · On-site

$190K - $230K/yr

Define the end-to-end gen AI architecture across Nebula and CS & Operations, covering LLMs, agent harnesses, RAG, vector search, embeddings, and model selection and triage. Build the hardest parts ...

Lead the design, development, and deployment of complex AI solutions, including LLM-based applications, retrieval-augmented generation (RAG) pipelines, and model-driven services. * Own technical ...

Showing results 41-60

Ai Rag information

What is an AI RAG?

AI RAGs, or Retrieval-Augmented Generation systems, are a type of artificial intelligence that combines the power of retrieving information from large databases or documents with generating human-like text responses. This approach allows AI models to provide more accurate, up-to-date, and contextually relevant answers by referencing external data sources during the generation process. RAGs are commonly used in applications like chatbots, search engines, and customer support systems, where comprehensive and factual responses are important.

What are the key skills and qualifications needed to thrive as an AI researcher?

To thrive as an AI Researcher, you need a strong background in computer science, mathematics, and machine learning, usually with an advanced degree such as a Master's or Ph.D. Proficiency with programming languages like Python, deep learning frameworks (e.g., TensorFlow, PyTorch), and familiarity with scientific research tools is essential. Critical thinking, creativity, and effective collaboration are vital soft skills for generating novel ideas and working in multidisciplinary teams. These skills and qualities are crucial to drive innovation and solve complex problems in the rapidly evolving field of artificial intelligence.

What are common challenges faced by AI RAG engineers when integrating retrieval systems with large language models?

AI RAG engineers often encounter challenges such as ensuring seamless integration between retrieval systems and language models, maintaining low latency for real-time responses, and handling the quality and relevance of retrieved data. Additionally, tuning the system to balance retrieval accuracy with generative fluency can be complex, especially when dealing with large or unstructured datasets. Collaboration with data engineers, ML researchers, and product teams is essential to address these challenges and optimize system performance.

What is the difference between Ai Rag vs Data Analyst?

AspectAi RagData Analyst
Required CredentialsTypically a diploma or certification in AI, machine learning, or related fieldsBachelor's degree in statistics, mathematics, or related fields
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, healthcare, and various industries
Employer & Industry UsagePrimarily in AI development and researchAcross industries for data interpretation and decision-making
Common Search & ComparisonYesYes

Ai Rag and Data Analyst roles share overlapping skills in data handling and analysis, but Ai Rag focuses more on AI-specific applications and machine learning, while Data Analysts concentrate on interpreting data to inform business decisions. Both roles are vital in data-driven industries, with Ai Rag often working in AI development environments and Data Analysts supporting strategic insights across sectors.

What are popular job titles related to Ai Rag jobs in Minnesota?

For Ai Rag jobs in Minnesota, the most frequently searched job titles are:

What cities in Minnesota are hiring for Ai Rag jobs?

Cities in Minnesota with the most Ai Rag job openings:

Lead Cloud Engineer - AI Ops - Remote

Minnetonka, MN • On-site, Remote

UnitedHealth Group
Insurance Services • 10K+ employees

$112K - $193K/yr

Full-time

Retirement

Re-posted yesterday


UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 146 frontline employees who took The Breakroom Quiz


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.


The Optum Insight Engineering team is seeking a Lead AI Ops Cloud Engineer with Site Reliability Engineering (SRE) experience to design, build, and scale modern AI  Ops solutions across payer and provider transformation initiatives. This is a hands-on technical leadership role requiring deep involvement in architecture and engineering while leading globally distributed teams. The role focuses on delivering,  Agentic AI, and Retrieval Augmented Generation (RAG) solutions with enterprise-grade reliability, security, and responsible AI practices.


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 end-to-end design and implementation of AI Ops solutions from concept through production with an emphasis on responsible AI practices
  • Contribute to the improvement of our SRE practices; Lead incident response; Ensure high availability, scalability, and performance of cloud environments
  • Automate Infrastructure & Operations: Develop Infrastructure as Code using Terraform & GitHub Actions while adhering to best practices
  • Define and own solution architecture for RAG pipelines, agentic workflows, tool calling, orchestration, and conversational context management
  • Design, develop, and deploy AI-powered solutions to address complex business challenges across enterprise scale using RAG based solutions
  • Work closely with development and SRE teams to improve system design, advocate for reliability, and mentor fellow engineers
  • Design, code, test, and operate software using Python & Node.js
  • Leverage enterprise-approved AI tools to streamline workflows, automate tasks, and drive continuous operational efficiency


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:

  • 8 years of overall software engineering and Site Reliability Engineering (SRE) experience in a public cloud environment (GCP, AWS, Azure)
  • 3 years of demonstrated hands-on experience with Python and Terraform based development
  • 2 years delivering AI/ML or Generative AI solutions in production
  • 2 years of experience managing Kubernetes environments (EKS, AKS, GKE, or self-hosted)
  • Available to work rotating 24x7 primary and secondary on-call shifts


Preferred Qualifications:

  • Bachelor's degree in Computer Science, Software Engineering, or a related technical field (or 8 years of equivalent software engineering experience in lieu of degree)
  • Hands-on experience with cloud infrastructure automation, observability tools, and SRE best practices for AI workloads
  • Experience leading globally distributed technical teams
  • Experience with vector search and enterprise search solutions
  • Proven experience building Retrieval Augmented Generation (RAG) pipelines, Agentic AI, or multi-step AI workflows
  • Proven experience building evaluation and monitoring frameworks for AI quality
  • CI/CD (GitHub Actions preferred) & Infrastructure as Code experience with Terraform
  • Proven effective communication skills with ability to explain complex technical concepts to diverse 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 $112,700 - $193,200 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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