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Ai Rag Jobs in Minnesota (NOW HIRING)

US Bank

Lead AI Platform Engineer

Minneapolis, MN · On-site

$107K - $140K/yr

Retrieval-Augmented Generation (RAG) architectures * Prompt engineering techniques * Agentic AI workflows and orchestration * Build intelligent systems using frameworks such as LangChain, LangGraph ...

US Bank

Lead AI Platform Engineer

Hopkins, MN · On-site

$104K - $137K/yr

Retrieval-Augmented Generation (RAG) architectures * Prompt engineering techniques * Agentic AI workflows and orchestration * Build intelligent systems using frameworks such as LangChain, LangGraph ...

Tata Consultancy Services

AI Engineer

Minneapolis, MN · On-site

Responsibilities : • Design and develop AI/ML and Generative AI solutions, from POC to production • Build LLM based applications using techniques such as RAG, prompt engineering, embeddings, and ...

RELX

AI Data Analyst

Minneapolis, MN · On-site

Does not act as the primary technical owner for RAG frameworks, vector databases, or embedding ... AI solutions benefit from more relevant, uptodate, and understandable data . * Clear ownership and ...

Programmers.io

AI Lead

Minneapolis, MN · On-site

Design robust AI solution architectures including expertise in designing robust Agentic GenAI systems, robust ML & RAG pipelines, Context Engineering pipelines, agentic orchestration, model context ...

Thomson Reuters

Lead AI Forward Engineer

Eagan, MN · On-site

$104K - $137K/yr

Production AI systems and observability challenges (prompting, context windows, RAG, hallucinations, provider variability). * Proficiency in Python (strongly preferred) and ability to prototype and ...

Wipro Limited

Agentic AI Developer

Minneapolis, MN · On-site

$80K - $158K/yr

LLMs, prompt engineering, RAG architectures Multi-agent orchestration and workflow design ... to AI governance, safety, and responsible AI practices Familiarity with agent-to-agent ...

THOMSON REUTERS

Lead AI Forward Engineer

Eagan, MN · Remote

$104K - $137K/yr

Production AI systems and observability challenges (prompting, context windows, RAG, hallucinations, provider variability). * Proficiency in Python (strongly preferred) and ability to prototype and ...

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Ai Rag information

What are the key skills and qualifications needed to thrive as an AI Researcher, and why are they important?

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 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.

Which AI is best at RAG?

For an AI Rag role, the best AI systems for Retrieval-Augmented Generation (RAG) tasks typically include models like OpenAI's GPT-4, Google's Bard, and Meta's Llama 2, which are capable of integrating retrieval components with language generation. Success in RAG depends on the model's ability to efficiently access and incorporate external data, as well as the implementation of effective retrieval mechanisms and fine-tuning. Skills in natural language processing, knowledge of retrieval systems, and experience with relevant tools are essential for this role.

What engineer makes 500,000 a year?

Senior software engineers, especially those working in high-demand fields like artificial intelligence or machine learning at large tech companies, can earn $500,000 or more annually. Compensation often includes base salary, bonuses, and stock options, and requires advanced skills, extensive experience, and often a master's or Ph.D. in a related field.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer, AI research director, or executive roles like AI CTO. These roles often require advanced skills in data science, deep learning, and experience with tools like TensorFlow or PyTorch, along with a strong track record of innovation and leadership in the field.

What are AI RAGs?

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.

Which 3 jobs will survive AI?

AI Rag is a role that involves managing and interpreting AI outputs, and jobs that require complex problem-solving, creativity, and emotional intelligence are more likely to survive AI automation. Examples include healthcare professionals, skilled tradespeople, and roles in education. These jobs often require human judgment, interpersonal skills, and adaptability that AI cannot fully replicate.

What are some common challenges faced by AI RAG (Retrieval-Augmented Generation) 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 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 job categories do people searching Ai Rag jobs in Minnesota look for? The top searched job categories for Ai Rag jobs in Minnesota are:
What cities in Minnesota are hiring for Ai Rag jobs? Cities in Minnesota with the most Ai Rag job openings:
Ai Rag jobs near you
Lead AI Platform Engineer

Lead AI Platform Engineer

US Bank

Minneapolis, MN • On-site

$107K - $140K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 28 days ago

U.S. Bank rating

8.2

Company rating: 8.2 out of 10

Based on 358 frontline employees who took The Breakroom Quiz

44th of 149 rated banks

Job description

At U.S. Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at-all from Day One.

Job Description

Job Summary

The Lead Engineer (Generative AI) is a senior technical role responsible for designing, developing, and operationalizing enterprise-scale Generative AI (GenAI) solutions. This position combines deep hands-on expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic AI architectures with strong technical leadership to deliver secure, scalable, and resilient AI systems.

The role partners across engineering, product, and business teams to translate complex requirements into production-ready AI capabilities aligned with enterprise standards for security, risk, and responsible AI.

Key Responsibilities

1. GenAI Solution Engineering

  • Design, develop, and deploy GenAI solutions leveraging:
    • Large Language Models (LLMs)
    • Retrieval-Augmented Generation (RAG) architectures
    • Prompt engineering techniques
    • Agentic AI workflows and orchestration
  • Build intelligent systems using frameworks such as LangChain, LangGraph, AWS Bedrock, and Microsoft Foundry Agent Service
  • Evaluate emerging tools and frameworks to continuously improve solution quality and innovation

2. GenAIOps & Lifecycle Management

  • Lead the end-to-end lifecycle of GenAI solutions, including:
    • Solution architecture and engineering
    • Integration with enterprise systems
    • Secure deployment and release management
    • Monitoring, observability, and continuous optimization
  • Implement GenAIOps best practices to ensure scalability, reliability, and cost efficiency
  • Establish logging, evaluation, and feedback mechanisms for production AI systems

3. Cloud, Platform & Scalability Engineering

  • Architect and deploy GenAI applications across cloud environments (Azure and AWS)
  • Design distributed systems capable of supporting high-throughput, low-latency AI workloads
  • Leverage modern infrastructure practices:
    • Containerization (Docker)
    • Orchestration (Kubernetes)
    • Infrastructure as Code (Terraform, ARM/Bicep)
  • Ensure high availability, performance, and enterprise-grade security

4. Software Engineering & Architecture

  • Develop scalable, maintainable applications using Python and microservices-based architectures
  • Apply secure coding standards and robust data handling practices for regulated environments
  • Build and manage CI/CD pipelines supporting automated testing, deployment, and release management
  • Enforce engineering best practices including code reviews, testing, and documentation

5. Technical Leadership & Influence

  • Provide architectural leadership and guidance across GenAI initiatives
  • Drive critical design decisions for large-scale, complex AI solutions
  • Mentor and coach senior engineers and development teams
  • Translate business requirements into scalable, secure, and resilient technical solutions
  • Partner with stakeholders across product, business, risk, and security functions

Basic Qualifications

  • Bachelor's degree, or equivalent work experience
  • Six to eight years of relevant experience

Experience Should Include

  • Bachelor's or Master's degree in Computer Science, Engineering, or related field
  • 8+ years of experience in software engineering, platform engineering, or AI/ML solutions
  • 2+ years hands-on experience with GenAI technologies, including LLMs and RAG architectures and vector databases
  • Strong knowledge of agentic AI concepts and frameworks (e.g., LangChain, LangGraph)
  • Experience with cloud platforms (Azure and/or AWS)
  • Deep understanding of distributed systems and scalable architecture patterns
  • Proficiency in Python and microservices-based development
  • Experience with Docker, Kubernetes, and Infrastructure as Code tools
  • Demonstrated technical leadership and mentoring experience

Preferred Qualifications

  • Experience implementing GenAI solutions in enterprise or regulated environments
  • Familiarity with observability frameworks and AI lifecycle tooling
  • Understanding of AI governance, security, and compliance requirements
  • Experience contributing to or working with AI/ML or GenAI frameworks
  • Background in financial services or other highly regulated industries

Core Competencies

Technical Depth & Innovation

  • Strong expertise in GenAI architectures and evolving AI technologies
  • Ability to balance experimentation with enterprise-grade reliability

Architecture & Systems Thinking

  • Designs scalable, distributed, and resilient systems
  • Aligns architecture decisions with enterprise standards and long-term strategy

Execution & Operational Excellence

  • Drives end-to-end delivery from concept through production
  • Ensures high standards for quality, security, and performance

Leadership & Collaboration

  • Influences without authority and leads through technical expertise
  • Mentors engineers and elevates overall team capability

Business & Stakeholder Alignment

  • Translates complex technical concepts into business outcomes
  • Partners effectively across product, engineering, and leadership teams

***This role requires working from a U.S. Bank location three (3) or more days per week.***

If there's anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to ourdisability accommodations for applicants.

Benefits:

Our approach to benefits and total rewards considers our team members' whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following:

  • Healthcare (medical, dental, vision)

  • Basic term and optional term life insurance

  • Short-term and long-term disability

  • Pregnancy disability and parental leave

  • 401(k) and employer-funded retirement plan

  • Paid vacation (from two to five weeks depending on salary grade and tenure)

  • Up to 11 paid holiday opportunities

  • Adoption assistance

  • Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law

Review our full benefits available by employment status here.

U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law.

E-Verify

U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about theE-Verify program.

The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $139,230.00 - $163,800.00

U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.

Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.

Posting may be closed earlier due to high volume of applicants.

What U.S. Bank employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About U.S. Bank

Sourced by ZipRecruiter

U.S. Bank is a reputable and established financial institution that plays a significant role in the banking sector. With a history spanning over 150 years, U.S. Bank has built a strong foundation of trust and reliability. As a comprehensive bank, they offer a wide array of financial products and services to cater to the diverse needs of their customers, including individuals, businesses, and communities. Customer satisfaction is of utmost importance to U.S. Bank. They prioritize delivering exceptional service and fostering long-term relationships with their clients. Through their extensive network of branches and advanced digital banking platforms, U.S. Bank ensures convenient access to their services, empowering customers to manage their finances efficiently and securely.

Industry

Banking and credit intermediation

Company size

10,000+ Employees

Headquarters location

Minneapolis, MN, US

Year founded

1863

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