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Vector Databases Jobs in Provo, UT (NOW HIRING)

AI systems using structured LLM outputs, evals, token budgets, embeddings/vector search, vLLM/local ... Deep experience with relational databases, especially Postgres, schema design, query performance ...

AI systems using structured LLM outputs, evals, token budgets, embeddings/vector search, vLLM/local ... Deep experience with relational databases, especially Postgres, schema design, query performance ...

Senior Software Engineer (AI team)

Lehi, UT

$115K - $151.60K/yr

Handson experience with relational databases and SQL; familiarity with PostgreSQL or Snowflake is a ... Curiosity or handson work with generative AI (prompt engineering, finetuning, vector search ...

Senior Software Engineer (AI team)

Lehi, UT

$115K - $151.60K/yr

Hands‑on experience with relational databases and SQL; familiarity with PostgreSQL or Snowflake ... Curiosity or hands‑on work with generative AI (prompt engineering, fine‑tuning, vector search ...

Senior Software Engineer (AI team)

Lehi, UT · On-site

$115K - $151.60K/yr

Hands-on experience with relational databases and SQL; familiarity with PostgreSQL or Snowflake is ... Curiosity or hands-on work with generative AI (prompt engineering, fine-tuning, vector search ...

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Vector Databases information

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 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 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 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.

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What cities near Provo, UT are hiring for Vector Databases jobs? Cities near Provo, UT with the most Vector Databases job openings:
Data Scientist (Applied AI Scientist) - Innovation Lab

Data Scientist (Applied AI Scientist) - Innovation Lab

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.
Zions Bancorporation's Innovation Lab is seeking a creative and driven Data Scientist (Applied AI Scientist) to explore and pioneer the next generation of artificial intelligence solutions. This role is at the heart of our innovation engine, focusing on rapidly prototyping and validating new AI concepts that have the potential to redefine banking processes, enhance customer experiences, and unlock new revenue streams.
As a key member of the Innovation Lab, you will work in a fast-paced, experimental environment, turning ambiguous business challenges into tangible, data-driven prototypes. You will leverage the full spectrum of AI-from generative and agentic systems to predictive modeling-to build proof-of-concepts that demonstrate what's possible.
Responsibilities:
• Design, prototype, and validate end-to-end AI solutions, with a focus on demonstrating business value and technical feasibility.
• Develop and experiment with agentic AI systems and multi-agent architectures using modern LLM orchestration frameworks (e.g., LangChain, LangGraph).
• Explore, clean, and transform diverse datasets (structured and unstructured) to uncover opportunities for innovative AI applications.
• Build and refine AI/ML pipelines for rapid prototyping, including data ingestion, prompt engineering, model inference, and exploratory evaluation.
• Collaborate closely with business stakeholders, product managers, and technology teams to ideate, define, and test new AI use cases.
• Stay at the forefront of emerging AI research and technologies, actively bringing new ideas and techniques into the lab for experimentation.
• Perform statistical analysis, interpret results, and build predictive models to inform and validate innovation projects.
• Communicate complex findings, methodologies, and the potential impact of your work to both technical and non-technical audiences, including senior leadership.
Qualifications:
• Strong background in both software engineering and applied statistics, with a passion for building and experimenting.
• Excellent programming skills in Python, with experience in API development (e.g., FastAPI, Flask) and leveraging libraries like NumPy, PyTorch, and Scikit-learn.
• Hands-on experience building and deploying AI applications, especially those leveraging Generative AI, LLMs, and Retrieval Augmented Generation (RAG).
• Familiarity with LLM orchestration frameworks (LangChain, LangGraph), vector databases, and prompt engineering best practices.
• Proven ability to work with complex data, perform statistical analysis (e.g., hypothesis testing, regression), and apply various machine learning techniques.
• Experience with cloud platforms (GCP preferred; Azure or AWS) and a working knowledge of MLOps concepts for rapid iteration (e.g., CI/CD, containerization).
• Exceptional problem-solving skills, comfort with ambiguity, and the ability to own projects from concept to completion.
• Excellent communication and presentation skills, with the ability to articulate the business value of technical solutions.
• Experience building agentic workflows or multi-agent systems is a significant plus.
• Bachelor's degree in Computer Science, Data Science, Engineering, Statistics, or a related technical field plus 4+ years of hands-on experience in data science or AI engineering. A Master's degree or PhD is a strong plus. A combination of education and experience may meet qualifications.
Visa Sponsorship:
This Data Scientist 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.
Location:
This position has a hybrid work from home schedule with a minimum of three days per week in the 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
#dice

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

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