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Vector Databases Jobs in Provo, UT (NOW HIRING)

Zions Bank

AI Engineer (Data Scientist)

Midvale, UT · On-site

Work with both structured and unstructured data, including integration with relational databases and vector databases for retrieval augmented generation (RAG). * Communicate effectively with both ...

New

Patientco

Senior ML Engineer

Lehi, UT

$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

$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 ...

BambooHR

Sr. Data Engineer

Draper, UT · On-site

$107K - $128K/yr

Exposure to LLMs, embeddings, vector databases, or generative AI systems * Familiarity with handling structured and unstructured data (e.g., text, logs, embeddings) * Experience building or ...

LVT

Senior AI Specialist

American Fork, UT

You have substantive, hands-on experience building and deploying LLM-based solutions - RAG pipelines, vector databases, agent frameworks, prompt engineering at scale. Using Copilot or ChatGPT at work ...

Epicor

Manager of Product Development | AI Platform

Lehi, UT · Hybrid

$107K - $134K/yr

Knowledge of modern artificial intelligence frameworks including retrieval-augmented generation, vector databases, orchestration frameworks, and observability tools * Familiarity with emerging ...

Adobe

Senior Platform & AI Engineer

Lehi, UT · On-site

$51.75 - $67/hr

... Vector databases (OpenSearch, Pinecone) Demonstrated experience (or significant exposure) designing, integrating, and scaling agentic AI systems-such as LLM agents, multi-agent frameworks (LangChain ...

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 ...

Ancestry

Senior Software Engineer

Lehi, UT · Remote

$111K - $139K/yr

Experience with vector databases and embedding models is a plus. Who You Are... * 5+ years of experience as a software engineer, with specific experience in Java. * Experience with cloud technologies ...

Ancestry

Senior Software Engineer

Lehi, UT · On-site +1

$111K - $139K/yr

Experience with vector databases and embedding models is a plus. Who You Are... * 5+ years of experience as a software engineer, with specific experience in Java. * Experience with cloud technologies ...

LVT

Senior AI Specialist

American Fork, UT · On-site

You have substantive, hands-on experience building and deploying LLM-based solutions - RAG pipelines, vector databases, agent frameworks, prompt engineering at scale. Using Copilot or ChatGPT at work ...

Ancestry

Senior Software Engineer

Lehi, UT · On-site

$111K - $139K/yr

Experience with vector databases and embedding models is a plus. Who You Are... * 5+ years of experience as a software engineer, with specific experience in Java. * Experience with cloud technologies ...

LVT

Senior AI Specialist

American Fork, UT · On-site

You have substantive, hands-on experience building and deploying LLM-based solutions -- RAG pipelines, vector databases, agent frameworks, prompt engineering at scale. Using Copilot or ChatGPT at ...

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Showing results 1-20

All JobsVector Databases JobsVector Databases Jobs in Provo, UT

Vector Databases information

What are vector databases?

Vector databases are specialized databases designed to store, manage, and search high-dimensional vector data, which is commonly generated from machine learning models, such as embeddings from natural language processing or image recognition. They enable efficient similarity search operations, such as finding the most similar items to a given query vector, which is essential for applications like recommendation systems, semantic search, and AI-powered search engines. Unlike traditional databases that handle structured or unstructured data, vector databases are optimized for fast and scalable similarity searches on large datasets of vectors.

What are some common challenges faced when working with vector databases, and how can they be addressed?

Professionals working with vector databases often encounter challenges such as efficiently scaling to handle large datasets, ensuring low-latency similarity searches, and integrating the database with machine learning pipelines. To address these, teams typically implement distributed architectures, fine-tune indexing strategies, and collaborate closely with data engineers and machine learning specialists. Staying updated with the latest developments in vector database technologies and maintaining clear communication with cross-functional teams are also key to overcoming these challenges.

What is the difference between Vector Databases vs Data Engineers?

AspectVector DatabasesData Engineers
Required SkillsDatabase management, data modeling, query optimizationData pipeline development, ETL processes, programming
Work EnvironmentData storage systems, AI/ML projects, cloud platformsData infrastructure, cloud environments, big data tools
Industry UsageAI, machine learning, recommendation systemsData integration, analytics, data architecture

While Vector Databases focus on storing and querying high-dimensional vector data for AI applications, Data Engineers build and maintain data pipelines and infrastructure to support data analysis and machine learning workflows. Both roles are essential in data-driven industries but serve different functions within the data ecosystem.

What are the key skills and qualifications needed to thrive as a Vector Database Engineer, and why are they important?

Success as a Vector Database Engineer requires a strong background in computer science, database management, and experience with machine learning or AI-driven data systems. Familiarity with vector database platforms (such as Pinecone, Milvus, or Weaviate), cloud infrastructure, and proficiency in languages like Python are typically expected. Strong problem-solving skills, effective communication, and the ability to work cross-functionally help engineers stand out. These competencies are vital to efficiently design, deploy, and maintain scalable vector search solutions that power modern AI applications.
What job categories do people searching Vector Databases jobs in Provo, UT look for? The top searched job categories for Vector Databases jobs in Provo, UT are:
What cities near Provo, UT are hiring for Vector Databases jobs? Cities near Provo, UT with the most Vector Databases job openings:
Vector Databases jobs near you
AI Engineer (Data Scientist)

AI Engineer (Data Scientist)

Zions Bank

Midvale, UT • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

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 looking for an AI Engineer (Data Scientist) to design, build, and deploy production grade AI solutions. This is an engineering first role focused on applying Generative AI, machine learning, and good software practices to build scalable and reliable AI services.
This AI Engineer will work closely with product, data, and platform teams, as well as business stakeholders, to deliver end-to-end AI solutions-from development and deployment through monitoring and continuous improvement.
Responsibilities:
  • Design, build, and deploy AI solutions, including Generative AI and machine learning models, to solve real business problems.
  • Develop agentic AI systems using LLM orchestration frameworks (e.g., LangChain, LangGraph, or similar).
  • Develop and maintain production-ready AI services and components with attention to performance, reliability, and maintainability.
  • Collaborate with Data Scientists, product teams, and business stakeholders to translate requirements into scalable AI and ML solutions.
  • Build and maintain AI/ML pipelines covering data ingestion, prompt engineering, model inference, evaluation, and monitoring.
  • Implement and follow MLOps best practices, including CI/CD, versioning, observability, and model and prompt lifecycle management.
  • Work with both structured and unstructured data, including integration with relational databases and vector databases for retrieval augmented generation (RAG).
  • Communicate effectively with both technical and non-technical stakeholders, including senior leadership.

Qualifications:
  • Bachelor's degree in Computer Science, Engineering, or a related technical field plus 2+ years of relatable experience. Master's degree is a plus. A combination of education and experience may meet qualifications.
  • Strong software engineering background with experience contributing to production systems.
  • Excellent Python programming skills, including experience with async programming and API development (FastAPI, Flask, or similar).
  • Hands-on experience building Generative AI / LLM-based applications in production environments.
  • Familiarity with LLM orchestration and agentic AI frameworks (e.g., LangChain, LangGraph, or similar concepts).
  • Familiarity with ML frameworks such as PyTorch/scikit-learn.
  • Experience integrating vector databases and search/index systems for AI applications.
  • Good understanding of prompt engineering, model evaluation, and inference optimization.
  • Experience deploying AI/ML solutions on cloud platforms (GCP preferred; Azure or AWS).
  • Working knowledge of MLOps practices, including CI/CD pipelines, monitoring, and lifecycle management.
  • Strong problem solving skills and the ability to communicate clearly with both technical and nontechnical stakeholders.
  • Comfortable working in a collaborative, fast-moving environment and owning deliverables end-to-end.
  • Experience building agentic workflows, tool calling systems, or multiagent architectures is a plus.
  • Experience with containerization and orchestration technologies (Docker, Kubernetes) is a plus.

Location:
This position is fully in office (5 days a week) at the Zions Technology Center - 7860 South Bingham Junction Blvd, Midvale, UT 84047
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

Apply now if you have a passion for impactful outcomes, enjoy working collaboratively with co-workers, and want to make a difference for the clients and communities we serve.
Zions Bank logo

About Zions Bank

Sourced by ZipRecruiter

Zions Bank recognizes that its success comes from the dedication, experience and talents of its diverse employee base. As we usher in the next generation of banking, we're committed to being the premier employer of choice. We're proud to have ranked among American Banker magazine's "Best Banks to Work For" almost every year since 2013, as Best Employer from Utah's Best of State, among the Best Places to Work in Idaho, and "among the Salt Lake Tribune's Top Workplaces. Make the leap into a new era of banking. Let us transform your career.

Industry

Commercial banking

Company size

1,001 - 5,000 Employees

Headquarters location

Salt Lake City, UT, US

Year founded

1873

Social media

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