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Retrieval Augmented Generation Rag Jobs in Orem, UT

BambooHR

Sr. Data Engineer

Draper, UT · Hybrid

$107K - $128K/yr

Design and manage vector databases and embedding pipelines to support semantic search and Retrieval-Augmented Generation (RAG). * Build and optimize retrieval pipelines including hybrid search ...

CardWorks

Director, Data Science

South Jordan, UT · On-site

Develop Retrieval-Augmented Generation (RAG) solutions and AI agents that enable continuous monitoring of competitor activity, customer trends, market signals, and regulatory developments. * Build ...

Awardco

Principal AI Solutions Architect

Lindon, UT · On-site

Architect the retrieval-augmented generation (RAG), Data Graph, GraphRAG layer so LLM responses are grounded in a well defined Ontology with trusted definitions and edges so live operational ...

Awardco

Principal AI Solutions Architect

Lindon, UT · On-site

Architect the retrieval-augmented generation (RAG), Data Graph, GraphRAG layer so LLM responses are grounded in a well defined Ontology with trusted definitions and edges so live operational ...

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 ...

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 ...

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 ...

Ancestry

Machine Learning Engineer, Co-op

Lehi, UT · Remote

Nice to have: Familiarity with LLM fine-tuning, retrieval-augmented generation (RAG), vector databases (FAISS, Pinecone, OpenSearch), LLM optimization, VLLM library, HuggingFace library or ...

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.

Zions Bancorporation

AI Engineer

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.

Zions Bank

AI Engineer

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.

Zions Bancorporation, N.A.

AI Engineer

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.

Berkadia

Senior Engineer - Machine Learning

Midvale, UT · Hybrid

$98K - $135K/yr

Experience building both traditional machine learning models (e.g., regression, classification, clustering) and generative AI systems (e.g., LLMs, retrieval-augmented generation, prompt engineering)

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How much do retrieval augmented generation rag jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for retrieval augmented generation rag in Orem, UT is $17.60, according to ZipRecruiter salary data. Most workers in this role earn between $15.05 and $18.41 per hour, depending on experience, location, and employer.
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Retrieval Augmented Generation Rag jobs near you
Infographic showing various Retrieval Augmented Generation Rag job openings in Orem, UT as of August 2026, with employment types broken down into 64% Full Time, 33% Part Time, and 3% Contract. Highlights an 62% Physical, 3% Hybrid, and 35% Remote job distribution, with an average salary of $36,617 per year, or $17.6 per hour.

Sr. Data Engineer

BambooHR

Draper, UT • Hybrid

$107K - $128K/yr

Full-time

Re-posted 22 days ago

BambooHR rating

9.7

Company rating: 9.7 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

5th of 243 rated software companies

Job description

Please Note: This is a Utah-based hybrid position which will require some regular in-office days each week. Additionally, employment with BambooHR is contingent on passing both a background and credit check.

AI at BambooHR

At BambooHR, we're all about setting people free to do great work, and we believe AI is a powerful partner in that mission. We're leaning into intelligent tools to streamline our workflows, giving us more time for high-impact innovation. We look for curious, forward-thinking people who are ready to explore how AI can elevate their work and help us reimagine the future of HR.

Essential Job Duties

As a Senior Data Engineer, you will play a key role in designing, building, and operating scalable data platforms, analytics systems, AI/ML infrastructure, and the enterprise knowledge layer that powers intelligent applications and AI agents.

You'll help extract, load, and transform structured and unstructured enterprise data into trusted, searchable, and reusable knowledge assets that enable retrieval-augmented generation (RAG), knowledge graphs, semantic search, AI agents, and advanced analytics. We'll rely on your expertise across data, AI, and knowledge engineering to develop reliable systems that make organizational knowledge accessible at scale.

Your ability to leverage AI to build performant data platforms, agentic workflows, and enterprise knowledge systems will be critical to your success.

You will:

  • Collaborate with data analysts, data scientists, ML engineers, business stakeholders, and AI engineers to enable trusted use of enterprise data and knowledge assets.
  • Design, develop, and maintain scalable data pipelines using Python, SQL, PySpark, and modern data engineering frameworks.
  • Build and optimize data lake, lakehouse, warehouse, data mart, and semantic data architectures.
  • Design, build, and maintain an enterprise knowledge layer that unifies structured and unstructured information for AI and analytics workloads.
  • Develop and maintain canonical data models, facts, dimensions, feature datasets, business entities, metadata models, and domain-specific data products.
  • Design pipelines that ingest documents, knowledge bases, APIs, SaaS applications, event streams, and other enterprise content into analytics and AI-ready formats.
  • Build pipelines for extracting, chunking, enriching, classifying, and embedding unstructured content.
  • Design and manage vector databases and embedding pipelines to support semantic search and Retrieval-Augmented Generation (RAG).
  • Build and optimize retrieval pipelines including hybrid search, metadata filtering, reranking, and context assembly.
  • Design and implement Knowledge Graph and Graph RAG architectures to model relationships between enterprise entities, documents, people, products, customers, and business processes.
  • Develop entity extraction, relationship extraction, ontology, taxonomy, and metadata enrichment pipelines to improve knowledge discovery.
  • Translate business requirements into scalable data models, semantic models, knowledge schemas, ERDs, data flow diagrams, and analytics and AI-ready architectures.
  • Design and manage cloud-based data and AI infrastructure (Databricks preferred), including development, staging, and production environments.
  • Design evaluation frameworks for retrieval quality, grounding accuracy, hallucination reduction, answer relevance, and AI system performance.
  • Partner with data governance to implement MCP servers, metadata management, data cataloging, lineage, governance, and access controls that improve discoverability and trust of enterprise knowledge.
  • Participate in peer code reviews, pull requests, architecture reviews, and engineering standards.
  • Document data pipelines, knowledge pipelines, AI architectures, semantic models, infrastructure, and operational procedures.
  • Define infrastructure as code and support CI/CD pipelines for data, AI, and knowledge engineering systems.
  • Ensure enterprise data privacy, security, governance, and responsible AI practices.
  • Continuously improve platform scalability, resilience, retrieval performance, and operational efficiency.
  • Contribute to the evolution of enterprise data, AI, and knowledge platform architecture and engineering best practices.

What You Need to Get the Job Done

(If you don't have everything, we still encourage you to apply.)

Collaboration & Business Engagement
  • Ability to translate business problems into scalable data, AI, and knowledge engineering solutions.
  • Experience working cross-functionally with technical and non-technical stakeholders.
  • Ability to quickly learn new business domains and emerging analytics and AI technologies.
  • Strong communication skills with the ability to explain complex technical concepts

Core Technical Skills

  • Hands-on experience building AI agents and agentic workflows.
  • Expert-level Python development for building scalable data, AI, and knowledge engineering solutions.
  • Advanced SQL development and query optimization across transactional, analytical, and semantic data stores.
  • Strong experience with Databricks, Spark, and distributed data processing frameworks.
  • Experience designing and implementing scalable data pipelines for both structured and unstructured enterprise data using Databricks and PySpark.
  • Deep understanding of lakehouse, data warehouse, semantic layer, and enterprise knowledge architecture principles.
  • Experience designing canonical data models, semantic models, ontologies, taxonomies, and reusable domain-oriented data products.
  • Strong understanding of metadata management, data cataloging, lineage, governance, and data discovery practices.
  • Experience developing document ingestion, enrichment, chunking, and indexing pipelines to support AI-powered search and retrieval.
  • Familiarity with embedding generation, vector indexing, and semantic retrieval concepts for Retrieval-Augmented Generation (RAG) systems.
  • Experience with cloud-native data platforms (AWS preferred) and modern storage architectures.
  • Experience implementing Infrastructure as Code (Terraform or similar), CI/CD pipelines, and automated deployment practices.
  • Experience building observable, secure, and resilient data platforms with monitoring, testing, and operational best practices.
  • Proficiency with Git-based development workflows and collaborative software engineering practices

Beyond technical skills, we're looking for someone who is:

  • A systems thinker who enjoys connecting data, knowledge, and AI.
  • Passionate about building trusted enterprise knowledge that powers intelligent experiences.
  • Curious about emerging AI architectures and rapidly evolving technologies.
  • Analytical and pattern-oriented.
  • Creative in designing scalable data and AI solutions.
  • Detail-oriented and persistent in solving complex engineering challenges.
  • Comfortable working in a fast-paced, collaborative environment.
  • Committed to continuous learning and engineering excellence.
  • Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or a related quantitative field (or equivalent practical experience).

What Will Make Us REALLY Love You

  • Experience designing and evolving enterprise-scale data platform architectures.
  • Experience working with, developing, and deploying MCP servers.
  • Experience implementing event-driven architectures, streaming data pipelines, and Change Data Capture (CDC) technologies.
  • Experience with Infrastructure as Code (Terraform, CloudFormation, or similar) and cloud automation.
  • Experience building and operationalizing machine learning pipelines for training, validation, deployment, monitoring, and observability.
  • Familiarity with enterprise data governance, metadata management, and data stewardship practices and tools.
  • Experience implementing data security, privacy, and regulatory compliance frameworks.
  • Experience supporting real-time analytics, low-latency data processing, or AI inference systems.
  • Familiarity with common business metrics and data models across finance, sales, marketing, product, customer success, and operations.

What You'll Love About Us

  • A Great Company Culture that has been recognized by multiple organizations like Inc, and Salt Lake Tribune
  • Comprehensive health, life, and disability insurance
  • Generous leave policies that include 4 weeks of vacation, 12 company holidays, parental leave, and volunteer time off so you can enjoy quality of life
  • 401k plans with up to 6% company match
  • $2000 Paid-Paid Vacation bonus
  • EAP through Headspace
  • Check out all our benefits that benefit you

About Us

At BambooHR, we're building something different: we're building a people intelligence platform that transforms HR and sets people free to do great work! We're a proven market leader driving innovation while building lasting success through thoughtful, sustainable growth. Here, you'll find a place that champions growth: both professional and personal, both individual and collective.

We invest in potential, giving you the space to stretch your capabilities and turn good ideas into reality while providing the safety net of a supportive, values-driven culture. Our approach combines meaningful work with meaningful lives, offering competitive benefits, professional development, and the flexibility to thrive both in and outside the office.

What sets us apart isn't just what we do, but how we do it: with openness, integrity, and a shared commitment to doing the right thing. Join us in creating HR software that makes work better for everyone, while we make work better for you.

BambooHR is committed to the full inclusion of all qualified individuals and will ensure that persons with disabilities are provided reasonable accommodations throughout the hiring process. If you would like to request accommodations, please let your recruiter know.

BambooHR is An Equal Opportunity Employer--M/F/D/V
Because our team members are trusted to handle sensitive information, we require all candidates that receive and accept employment offers to complete a background check before being hired.

For information on California Privacy Policy, click here.

Our process utilizes AI as an assistant to efficiently process and analyze candidate data. Recruiters and hiring managers maintain full oversight and accountability, ensuring that all final selection and rejection decisions are human-made and based solely on objective job qualifications. Please see our General Privacy Notice and California Privacy Notice for more details.

See our AI Guidelines for Candidates for details on how BambooHR uses AI in recruiting, how we expect candidates to use AI, and what is not allowed.

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