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Retrieval Augmented Generation Jobs in Utah (NOW HIRING)

D.A. Davidson

AI & Automation Engineer

Salt Lake City, UT · On-site

$90K - $120K/yr

Familiarity with large language models beyond basic API usage - e.g., experience with prompt tuning, deploying LLMs, or implementing retrieval-augmented generation (RAG) pipelines with vector ...

Amh

Product Engineering Architect

Draper, UT · On-site

Designs and delivers enterprise-grade AI solutions, including Generative AI applications, Agentic AI systems, Retrieval-Augmented Generation (RAG) pipelines, LLM integrations, and MLOps/LLMOps ...

WEX

Senior Backend Engineer - AI Platform

Salt Lake City, UT · On-site +1

$118K - $156K/yr

Design solutions for context management, memory, and retrieval-augmented generation (RAG) to enhance agent effectiveness. Experience you'll bring: * Bachelor's degree in Computer Science or Software ...

Zions Bank

AI Engineer - Innovation Lab

Midvale, UT · On-site

Develop innovative AI/ML software solutions, specifically focusing on Generative AI, LLMs, and RAG (Retrieval-Augmented Generation) architectures, while adhering to enterprise software standards.

University of Utah

IT Software Engineers

Salt Lake City, UT · Remote

$100K - $125K/yr

Design and implement advanced AI architectures utilizing Model Context Protocol (MCP), retrieval augmented generation (RAG), tool integrations, orchestration frameworks, enterprise knowledge systems ...

University of Utah

IT Software Engineers

Salt Lake City, UT · On-site

$100K - $125K/yr

Design and implement advanced AI architectures utilizing Model Context Protocol (MCP), retrieval augmented generation (RAG), tool integrations, orchestration frameworks, enterprise knowledge systems ...

Patientco

Senior ML Engineer

Lehi, UT · On-site

$98K - $134K/yr

Generate and manage high-quality vector embeddings for efficient retrieval-augmented generation (RAG) within a Vector Database. * Language Model (LM) Development & Fine-tuning: * Research, select ...

Wsgr

Senior AI Security Engineer

Salt Lake City, UT · On-site +1

$110K - $151K/yr

Collaborate on designing secure-by-default patterns for LLM integration, agentic workflows, retrieval-augmented generation (RAG) pipelines, and MCP server deployments across firm systems * Lead ...

Crew Career Center

Senior ML Engineer

Lehi, UT · On-site

$98K - $134K/yr

Generate and manage high-quality vector embeddings for efficient retrieval-augmented generation (RAG) within a Vector Database. * Language Model (LM) Development & Fine-tuning: * Research, select ...

Waystar

Senior ML Engineer

Lehi, UT · On-site

$98K - $134K/yr

Generate and manage high-quality vector embeddings for efficient retrieval-augmented generation (RAG) within a Vector Database. * Language Model (LM) Development & Fine-tuning: * Research, select ...

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Retrieval Augmented Generation information

What does a retrieval augmented generation engineer do?

A Retrieval Augmented Generation engineer typically spends their day designing and implementing systems that combine information retrieval with advanced generative models, such as large language models. This includes fine-tuning models, integrating external data sources, developing vector search pipelines, and evaluating output quality. Collaboration with data scientists, machine learning engineers, and product teams is common to ensure the solutions meet user requirements and scale effectively. Additionally, RAG engineers often troubleshoot issues, monitor model performance in production, and stay informed about the latest advancements in AI and information retrieval.

What is a retrieval augmented generation?

A Retrieval Augmented Generation (RAG) job typically involves developing and optimizing AI systems that enhance text generation by incorporating external knowledge retrieved from relevant sources. Professionals in this field work on integrating retrieval mechanisms with large language models to improve the relevance, accuracy, and factual grounding of generated content. Common responsibilities include designing retrieval systems, fine-tuning language models, optimizing performance, and ensuring the seamless integration of factual data into AI-generated text. This role is highly interdisciplinary, involving expertise in natural language processing (NLP), machine learning, and information retrieval.

What skills and qualifications are needed for retrieval augmented generation?

To thrive in a Retrieval Augmented Generation (RAG) engineering role, you need a solid background in machine learning, natural language processing (NLP), and experience with scalable information retrieval systems, typically supported by a relevant degree in computer science or a related field. Familiarity with tools such as Python, PyTorch or TensorFlow, vector databases, and search platforms like Elasticsearch is essential, along with practical experience deploying and tuning RAG pipelines. Strong problem-solving skills, a collaborative mindset, and effective communication abilities set outstanding professionals apart in this field. These competencies are crucial for designing, implementing, and optimizing hybrid retrieval-generation AI systems that address complex, real-world information needs.

What are the most commonly searched types of Retrieval Augmented Generation jobs in Utah? The most popular types of Retrieval Augmented Generation jobs in Utah are:
What are popular job titles related to Retrieval Augmented Generation jobs in Utah? For Retrieval Augmented Generation jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Retrieval Augmented Generation jobs in Utah look for? The top searched job categories for Retrieval Augmented Generation jobs in Utah are:
What cities in Utah are hiring for Retrieval Augmented Generation jobs? Cities in Utah with the most Retrieval Augmented Generation job openings:
Retrieval Augmented Generation jobs near you
Infographic showing various Retrieval Augmented Generation job openings in Utah as of August 2026, with employment types broken down into 52% Full Time, 36% Part Time, and 12% Contract. Highlights an 62% Physical, 3% Hybrid, and 35% Remote job distribution.

AI Engineer - Innovation Lab

Zions Bancorporation

Midvale, UT • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 3 days ago

Zions Bancorporation rating

8.6

Company rating: 8.6 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

31st of 170 rated banks

Job description

Zions Bancorporation's Enterprise Technology and Operations (ETO) team is transforming what it means to work for a financial institution. With a commitment to technology and innovation, we have been providing our community, clients and colleagues the best experience possible for over 150 years. Help us transform our workforce of the future, today.
We are seeking a dynamic and visionaryAI Engineerto join our newly establishedInnovation Lab. In this pivotal role, you will combine core software engineering excellence with advanced AI development to drive the creation of cutting-edge solutions. You will collaborate with cross-functional partners to deliver top-tier AI prototypes and production-ready applications, ensuring they are built on solid engineering principles. You will be responsible for comprehensive requirements analysis, stakeholder collaboration, and the design, debugging, testing, and deployment of effective, scalable software solutions. Your expertise will help us review, analyze, and improve business processes by leveraging both standard application development and advanced machine learning techniques. This is an exciting opportunity to make a significant impact within the financial sector, contributing to product design, user experience, and ongoing system enhancements.
Visa Sponsorship:
This AI Engineer position is currently not eligible for employment visa sponsorship (e.g., H-1B visa). This includes, for example, situations where a candidate may have temporary work authorization while enrolled in school or upon graduation (e.g., CPT, OPT) but would need H-1B visa sponsorship within a few years of employment in order to maintain employment eligibility.
Responsibilities:
  • Develop innovative AI/ML software solutions, specifically focusing on Generative AI, LLMs, and RAG (Retrieval-Augmented Generation) architectures, while adhering to enterprise software standards.
  • Design, build, and maintain robust, scalable RESTful APIs and microservices to expose AI capabilities to internal and external applications usingPython (FastAPI/Flask) and/or Java (Spring Boot).
  • Guide testing, configuration management, and source code/change management processes, ensuring strict adherence to Git workflows and version control best practices.
  • Support and maintain AI pipelines and infrastructure to ensure optimal system performance, scalability, and reliability.
  • Design, debug, test, and deploy software usingPython and/or Javafundamentals, writing clean, maintainable, and efficient code.
  • Lead and participate in code reviews, ensuring code quality, security, and testability across the team.
  • Review, analyze, and evaluate business processes, recommending improvements and changes using both standard software automation and AI.
  • Participate in unit testing, integration testing, feasibility assessments, and systems documentation.
  • Execute and manage change and release processes (CI/CD), including model versioning and deployment, documenting solutions with clear, well-commented code.
  • Build proof of concept (PoC) examples and graphical simulation software.
  • Participate in product design reviews, offering creative and practical ideas and solutions.
  • Collaborate with customer service, product managers, developers, and IT to enhance user experience and achieve product goals.
  • Other duties as assigned.

Qualifications:
  • 6+ years of experience in software development, database technologies, version control systems, DevOps tools, cloud computing platforms, and microservices architecture. A combination of education and relevant experience may meet qualifications.
  • Cloud Expertise:In-depth knowledge of modern cloud architectures (GCP preferred, AWS/Azure acceptable) and infrastructure-as-code.
  • Subject matter expert knowledge of modern programming languages-specificallyPython and/or Java-and application development using various technologies, languages, databases, integrations, frameworks, and systems.
  • Expert knowledge of software development lifecycles (SDLC), Agile/Scrum methodologies, SQL and database systems,Java/Python programmingand application servers (e.g., WebSphere, Tomcat), data modeling concepts, and integrated application development methodology.
  • Proven experience with Generative AI (prompt engineering, fine-tuning, RAG) combined with traditional software engineering skills (API design, CI/CD pipelines, Git).
  • Exceptional debugging, problem-solving, and testing skills (unit, integration, and end-to-end testing).
  • Exceptional analysis, judgment, and project management skills.
  • Excellent interpersonal communication, both verbal and written, with technical and non-technical staff.
  • Ability to analyze business requirements and map them to various programs, interpret, validate, and map business requirements to appropriate solutions.
  • Ability to work effectively in a team environment and adapt to changing technology and priorities.
  • Financial or banking services experience is a plus.
  • Bachelor's degree in Computer Science, Computer Engineering, or equivalent required.

Work Location:
This position will be a hybrid work schedule (3 days a week in office) at the new Zions Technology Center in Midvale, UT.
The Zions Technology Center is a 400,000-square-foot technology campus in Midvale, Utah. Located on the former Sharon Steel Mill superfund site, the sustainably built campus is the company's primary technology and operations center. This modern and environmentally friendly technology center enables Zions to compete for the best technology talent in the state while providing team members with an exceptional work environment with features such as:
  • Electric vehicle charging stations and close proximity to Historic Gardner Village UTA TRAX station.
  • At least 75% of the building is powered by on-site renewable solar energy.
  • Access to outdoor recreation, parks, trails, shareable bikes and locker rooms.
  • Large modern cafe with a healthy and diverse menu.
  • Healthy indoor environment with ample natural light and fresh air.
  • LEED-certified sustainable building that features include the use of low VOC-emitting construction materials.

Benefits:
  • Medical, Dental and Vision Insurance - START DAY ONE!
  • Life and Disability Insurance, Paid Parental Leave and Adoption Assistance
  • Health Savings (HSA), Flexible Spending (FSA) and dependent care accounts
  • Paid Training, Paid Time Off (PTO) and 11 Paid Federal Holidays
  • 401(k) plan with company match, Profit Sharing, competitive compensation in line with work experience
  • Mental health benefits including coaching and therapy sessions
  • Tuition Reimbursement for qualifying employees
  • Employee Ambassador preferred banking products

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