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Vector Databases Jobs in Pleasant Grove, UT (NOW HIRING)

Sr. Data Engineer

Draper, UT

$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 ...

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 ...

... with vector databases and semantic search architectures - Translating complex business problems into AI solution designs - Contributing to business development and proposal writing - Cloud ...

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 ...

... vector databases and orchestration tools like LangChain - Translating complex business problems into software-engineered AI solutions - Deploying on cloud platforms like AWS, GCP, Azure ...

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

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Showing results 1-20

Vector Databases information

What is the salary of a vector database developer?

The salary of a vector database developer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and company size. Skilled developers with expertise in machine learning, data structures, and database management may earn higher salaries, especially in tech hubs or with advanced certifications.

Are vector databases the future?

Vector database jobs involve managing and optimizing databases designed for high-dimensional vector data, which are essential for AI and machine learning applications. As AI continues to grow, demand for professionals skilled in vector database technologies and related tools like embedding models is expected to increase, making this a promising field for future job opportunities.

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 can you do with a vector database?

A vector database is used in roles involving data management and machine learning to store, search, and retrieve high-dimensional vector representations of data such as images, text, or audio. It enables efficient similarity searches, supporting applications like recommendation systems, natural language processing, and computer vision. Working with a vector database often requires knowledge of data structures, indexing techniques, and programming skills in languages like Python or C++.

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 the top 5 vector databases?

Top vector databases used in data management and AI applications include Pinecone, Weaviate, FAISS, Milvus, and Annoy. These databases are optimized for storing and searching high-dimensional vector data, often requiring skills in machine learning and database management. They are widely adopted for tasks like similarity search and recommendation systems.
What cities near Pleasant Grove, UT are hiring for Vector Databases jobs? Cities near Pleasant Grove, UT with the most Vector Databases job openings:
Infographic showing various Vector Databases job openings in Pleasant Grove, UT as of July 2026, with employment types broken down into 65% Full Time, and 35% Contract. Highlights an 92% In-person, and 8% Remote job distribution.
Senior Backend Engineer (Java/Kotlin, Microservices)

Senior Backend Engineer (Java/Kotlin, Microservices)

Cognizant Technology Solutions

Salt Lake City, UT • On-site

$116K - $151K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 hours ago


Cognizant rating

7.4

Company rating: 7.4 out of 10

Based on 85 frontline employees who took The Breakroom Quiz

41st of 58 rated business consultants


Job description

Job Summary
We are seeking a highly skilled Senior Backend Engineer (Java/Kotlin, Microservices) to design and build scalable, high-performance backend systems for enterprise applications. This role requires deep expertise in Java-based development, modern microservices architecture, and cloud-native design principles.
The ideal candidate is a hands-on engineer with strong experience in distributed systems, API development, and database engineering, combined with a passion for writing clean, efficient, and reliable code. Exposure to emerging technologies such as AI integrations and event-driven systems is highly valued.
About the Role
As a Senior Backend Engineer, you will play a key role in building and evolving robust backend services that power critical business applications. You will work on designing and implementing microservices, developing high-quality APIs, and ensuring system scalability, resilience, and performance.
In this role, you will collaborate closely with cross-functional teams including product, architecture, and data engineering to deliver end-to-end solutions. You will contribute to technical design decisions, promote best practices, and help drive innovation through the adoption of modern technologies and frameworks.
This position is ideal for someone who thrives in a fast-paced environment, enjoys solving complex technical challenges, and is passionate about building secure and scalable backend systems. Your expertise in Java, Kotlin, and distributed architectures will be essential in shaping next-generation enterprise platforms, with opportunities to integrate emerging AI capabilities into production systems.
*Please note, this role is not able to offer visa transfer or sponsorship now or in the future*
In This Role You Will
  • Design, develop, and maintain scalable backend services using Java (17+) and Kotlin
  • Build and evolve microservices architectures, ensuring high availability, resiliency, and performance
  • Develop and maintain RESTful APIs following API-first design principles and enterprise integration standards
  • Implement event-driven architectures using technologies such as Kafka
  • Write clean, efficient, and secure enterprise-grade code, following best practices and coding standards
  • Contribute to system design, including distributed systems, fault tolerance, and scalability strategies
  • Optimize application performance, including JVM tuning, database performance, and caching mechanisms
  • Design and work with SQL and NoSQL databases (PostgreSQL, MongoDB, Redis)
  • Collaborate with cross-functional teams to deliver end-to-end backend solutions
  • Participate in code reviews, testing, and CI/CD processes to ensure high-quality releases
  • Integrate and explore AI-driven capabilities (LLMs, RAG, semantic search) within backend systems where applicable
  • Contribute to technical documentation, architecture discussions, and continuous improvement initiatives

Work Model
At Cognizant, we strive to provide flexibility wherever possible, and we are here to support a healthy work-life balance though our various wellbeing programs. Based on this role's business requirements, this is an onsite position requiring 5 days a week in a client or Cognizant office in Salt Lake City, UT.
*Please note, this role is not able to offer visa transfer or sponsorship now or in the future*
Required Qualifications
  • Strong experience in backend development using Java (8-17+), with solid understanding of Core Java concepts (multithreading, collections, JVM)
  • Hands-on experience with Spring Boot and microservices architecture
  • Proficiency in building scalable, fault-tolerant APIs and distributed systems
  • Experience with Kotlin or willingness to work with it in production environments
  • Strong knowledge of event-driven systems and messaging (e.g., Kafka)
  • Experience working with relational and NoSQL databases (PostgreSQL, MongoDB, Redis)
  • Solid understanding of API design, security, and integration patterns
  • Experience with build and testing tools (Maven/Gradle, JUnit)
  • Familiarity with cloud-native development principles and scalable system design
  • Strong problem-solving skills and ability to work in a fast-paced, collaborative environment

Preferred Qualifications
  • Experience with reactive programming or frameworks (e.g., Vert.x)
  • Exposure to cloud platforms (AWS, Azure, GCP)
  • Familiarity with containerization and orchestration tools (Docker, Kubernetes)
  • Experience with performance tuning and caching strategies
  • Knowledge of AI/ML concepts, including LLMs, RAG, vector databases, or prompt engineering
  • Experience with Python for scripting, automation, or data-related tasks
  • Understanding of advanced design patterns for distributed systems (e.g., Circuit Breaker, Saga)
  • Strong communication skills and ability to contribute to technical leadership discussions

Additional Information
We welcome applicants who share our mission and can make an impact in a variety of ways. Even if you don't meet every listed requirement, we encourage you to apply. Consider your transferable experience and unique skills that may bring fresh perspective to the role.
Salary and Other Compensation
Applications will be accepted until June 28 th , 2026.
The annual salary for this position ranges from $70,000 - $120,000, depending on experience and qualifications.
This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to applicable plan terms.
Benefits
Cognizant offers the following benefits for this role (subject to eligibility):
• Medical/Dental/Vision/Life Insurance
• Paid Holidays & Paid Time Off
• 401(k) plan with contributions
• Long-term/Short-term Disability
• Paid Parental Leave
• Employee Stock Purchase Plan
Disclaimer
The salary, benefits, and compensation information listed above is accurate as of the posting date. Cognizant reserves the right to modify this information at any time, in accordance with applicable law.
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization's unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India.

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