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Vector Databases Jobs in Ogden, UT (NOW HIRING)

Partner on Platform & Quality Standards Work with Engineering to define AI infrastructure requirements including vector databases, prompt frameworks, and model observability. Set quality benchmarks ...

Artificial Intelligence Architect

Ogden, UT · On-site

$61.75 - $81.25/hr

You should have hands on experience with: • Large language models and prompt engineering at an advanced level • Agent based systems and task orchestration • Embeddings, vector databases, and ...

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

Senior AI Developer

Salt Lake City, UT · On-site +1

$52.75 - $69.75/hr

Hands-on experience building with LLMs, including RAG architectures, agentic design patterns, prompt engineering, or vector databases * Demonstrated Azure experience, including Azure OpenAI Service ...

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

... database systems. * Interface with HARM personnel to update the ARMS (or future Government-mandated ... Vector CSP, LLC is an Equal Opportunity Employer. We do not discriminate in employment decisions ...

... database systems. * Interface with HARM personnel to update the ARMS (or future Government-mandated ... Vector CSP, LLC is an Equal Opportunity Employer. We do not discriminate in employment decisions ...

Google AI Lead Architect

Salt Lake City, UT

$53.50 - $73.25/hr

Build RAG and agentic solutions using Vertex AI Vector Search and BigQuery vector; implement ... databases. Should have experience in leveraging various GenAI tools to accelerate software ...

Senior Software Engineer

Arsenal, UT · On-site

$116K - $153K/yr

Perform full-stack development tasks including working with SQL databases, back-end services, and ... Ability to work with advanced math and physics, particularly vector mathematics * Willingness to ...

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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 are popular job titles related to Vector Databases jobs in Ogden, UT? For Vector Databases jobs in Ogden, UT, the most frequently searched job titles are:
What cities near Ogden, UT are hiring for Vector Databases jobs? Cities near Ogden, UT with the most Vector Databases job openings:

Product Manager - AI Applications

Sitreps 2 SteerCos

UT • On-site, Remote

Full-time

Posted 14 days ago


Key responsibilities

  • Develop and maintain a strategic roadmap for AI-driven capabilities across foundational, generative, and predictive stages.

  • Drive the creation of AI-assisted workflows including draft generation, document linking, and natural-language interfaces to accelerate planning cycles.

  • Work with Engineering and Security to define AI infrastructure requirements, set quality benchmarks, and implement data protection and access controls.


Job description


Role: Product Manager - AI Applications
Location: Remote
Salary: $200-$240K + Equity
About US
This is a revolutionary platform for military staff workflows and operational planning. The software is designed to enable smarter, real-time decisions. With unparalleled collaboration features, AI-enhanced tools, and customizable workflows, this product makes staffs superhuman. Our expanding roster of customers includes COCOMs and Service Components worldwide.
About the Role
As a Staff Product Manager focused on Applied AI, you'll define and execute our vision for AI-driven capabilities across the military staff workflow. You'll lead strategic product decisions across intelligent search and summarization, assisted drafting, and predictive capabilities, ensuring our AI features are reliable, secure, and mission-ready. Working closely with Engineering, Design, Data Science, Security, and military SMEs, you'll prioritize high-impact initiatives that transform how staffs plan and operate.
Responsibilities
  • Define and Own AI Strategy
    Develop and maintain a strategic roadmap that aligns withAI goals across foundational, generative, and predictive stages. Champion and communicate the vision across cross-functional teams and external stakeholders..
  • Advance Generative AI Features
    Drive the creation of AI-assisted workflows including draft generation, document linking, and natural-language interfaces that accelerate planning cycles. Define user experiences, success metrics, and iteration plans.
  • Partner on Platform & Quality Standards
    Work with Engineering to define AI infrastructure requirements including vector databases, prompt frameworks, and model observability. Set quality benchmarks and evaluation practices to monitor reliability, performance, and cost.
  • Ensure Security & Governance
    Collaborate with Security to implement data protection, access controls, and policy alignment needed for trusted use in high-security environments.
  • Measure and Communicate Impact
    Define and track metrics tied to AI adoption, user efficiency, and planning effectiveness. Communicate progress and insights clearly in an async-first, distributed team environment.
About You
You thrive in complex, ambiguous environments and enjoy turning advanced AI technologies into simple, powerful tools. You're fluent in both the technical details and the strategic value of AI, and you know how to balance bold product bets with responsible execution. You're excited to work with mission-driven users and have the ability to lead cross-functional teams toward outcomes that matter.
Qualifications
  • 5+ years of product management experience, with at least 3 years delivering AI/ML-based features in B2B SaaS or data-rich platforms.
  • Proven track record shipping AI-powered features (search, summarization, generative drafting, or predictive insights) with modern LLM tooling and architectures.
  • Experience managing model evaluation, observability, and optimization efforts across quality, latency, and cost.
  • Strong understanding of data governance, security, and compliance, preferably in regulated or high-trust domains.
  • Proficiency in SQL and basic Python for data validation and analysis.
  • Excellent communication skills, especially in async and distributed environments.
  • Bonus: Experience in defense, operational planning, or classified AI deployments.