... vector databases vector search and Retrieval Augmented Generation RAG Evaluate emerging database cloud and AI technologies and recommend solutions where appropriate Create and maintain architecture ...
New
... vector databases vector search and Retrieval Augmented Generation RAG Evaluate emerging database cloud and AI technologies and recommend solutions where appropriate Create and maintain architecture ...
New
Database Architect
Phoenix, AZ · On-site
$63.25 - $81.50/hr
Provide architectural guidance for AI-related data patterns including embeddings, vector databases, and RAG * Create and maintain architecture diagrams, technical documentation, and design decisions
Database Architect
Phoenix, AZ · On-site
$63.25 - $81.50/hr
Provide architectural guidance for AI-related data patterns including embeddings, vector databases, and RAG * Create and maintain architecture diagrams, technical documentation, and design decisions
Database Architect
Phoenix, AZ · On-site
$63.25 - $81.50/hr
Provide basic architectural guidance for AI-related data patterns , including embeddings, vector databases/vector search, and Retrieval-Augmented Generation (RAG). * Evaluate emerging database, cloud ...
Database Architect
Phoenix, AZ · On-site
$63.25 - $81.50/hr
Provide basic architectural guidance for AI-related data patterns , including embeddings, vector databases/vector search, and Retrieval-Augmented Generation (RAG). * Evaluate emerging database, cloud ...
Database Architect
Phoenix, AZ · On-site
$63.25 - $81.50/hr
Provide basic architectural guidance for AI-related data patterns, including embeddings, vector databases/vector search, and Retrieval-Augmented Generation (RAG). * Evaluate emerging database, cloud ...
Database Architect
Phoenix, AZ · On-site
$63.25 - $81.50/hr
Provide basic architectural guidance for AI-related data patterns, including embeddings, vector databases/vector search, and Retrieval-Augmented Generation (RAG). * Evaluate emerging database, cloud ...
AI Engineer
Phoenix, AZ · On-site
Develop and implement AI solutions using Python and AI frameworks such as Langgraph and Langchain Work with vector databases like Pinecone to manage and query highdimensional data Build and maintain ...
Quick apply
AI Engineer
Phoenix, AZ · On-site
Develop and implement AI solutions using Python and AI frameworks such as Langgraph and Langchain Work with vector databases like Pinecone to manage and query highdimensional data Build and maintain ...
Data Engineer
Phoenix, AZ · On-site
$113K - $136K/yr
Support AI/ML and GenAI teams with data requirements, vector databases, embeddings, and RAG patterns * Create and maintain architecture diagrams, technical documentation, and design decisions
Data Engineer
Phoenix, AZ · On-site
$113K - $136K/yr
Support AI/ML and GenAI teams with data requirements, vector databases, embeddings, and RAG patterns * Create and maintain architecture diagrams, technical documentation, and design decisions
Data Engineer -
Phoenix, AZ · On-site
Use Python for database automation, scripting, data processing, validation, and operational tasks * Collaborate with AI/ML and GenAI teams, providing architectural guidance on embeddings, vector ...
Data Engineer -
Phoenix, AZ · On-site
Use Python for database automation, scripting, data processing, validation, and operational tasks * Collaborate with AI/ML and GenAI teams, providing architectural guidance on embeddings, vector ...
Technology Specialist - IT Service, Support and Operations | Blockchain | Go language
Phoenix, AZ · On-site
The Job requires expertise in AI Architecture distribution systems, cloud native development, Python, Java/Kotlin, vector database and enterprise integration. Responsibilities: Design AI platfrom ...
Technology Specialist - IT Service, Support and Operations | Blockchain | Go language
Phoenix, AZ · On-site
The Job requires expertise in AI Architecture distribution systems, cloud native development, Python, Java/Kotlin, vector database and enterprise integration. Responsibilities: Design AI platfrom ...
Lead Gen AI Engineer
Phoenix, AZ · On-site
$101K - $134K/yr
Hands-on experience with RAG, embeddings, vector databases, and prompt engineering. Experience with LangChain and/or LlamaIndex. Experience integrating OpenAI/Azure OpenAI, Anthropic Claude, or ...
New
Lead Gen AI Engineer
Phoenix, AZ · On-site
$101K - $134K/yr
Hands-on experience with RAG, embeddings, vector databases, and prompt engineering. Experience with LangChain and/or LlamaIndex. Experience integrating OpenAI/Azure OpenAI, Anthropic Claude, or ...
New
Lead Java Developer - AI & Full Stack Solutions
Phoenix, AZ · On-site
$52.25 - $67.25/hr
Design and implement RAG (Retrieval-Augmented Generation) pipelines, integrate MCP (Model Context Protocol) servers/tools, vector databases, and enterprise LLM orchestration framework (e.g., Spring ...
Lead Java Developer - AI & Full Stack Solutions
Phoenix, AZ · On-site
$52.25 - $67.25/hr
Design and implement RAG (Retrieval-Augmented Generation) pipelines, integrate MCP (Model Context Protocol) servers/tools, vector databases, and enterprise LLM orchestration framework (e.g., Spring ...
Data Scientist II
Phoenix, AZ · On-site
$140K - $150K/yr
Rapidly prototype new AI use cases, including writing Python scripts that stand up vector databases and integrate LLMs * Take LLM applications from concept through production deployment * Perform ...
Quick apply
Data Scientist II
Phoenix, AZ · On-site
$140K - $150K/yr
Rapidly prototype new AI use cases, including writing Python scripts that stand up vector databases and integrate LLMs * Take LLM applications from concept through production deployment * Perform ...
Java AI Developer / Lead
Phoenix, AZ · On-site
Experience implementing RAG (Retrieval-Augmented Generation) solutions using vector databases such as Pinecone, ChromaDB, Weaviate, Milvus, or FAISS . * Experience integrating AI models such as ...
Java AI Developer / Lead
Phoenix, AZ · On-site
Experience implementing RAG (Retrieval-Augmented Generation) solutions using vector databases such as Pinecone, ChromaDB, Weaviate, Milvus, or FAISS . * Experience integrating AI models such as ...
Java-Python-Senior Engineer
Phoenix, AZ · On-site
... vector databases, and observability systems for adaptive agent behavior. • Ensure reliability, performance, and maintainability through rigorous testing, type safety (mypy/pydantic), and production ...
Java-Python-Senior Engineer
Phoenix, AZ · On-site
... vector databases, and observability systems for adaptive agent behavior. • Ensure reliability, performance, and maintainability through rigorous testing, type safety (mypy/pydantic), and production ...
Engineer II Premium
$82K - $110K/yr
... Matplotlib - Vector databases (ChromaDB, FAISS, pgvector) - Cloud Deployment (AWS/GCP/Azure) - Docker - Git - AI/ML Skills: - Retrieval-Augmented Generation (RAG) - Prompt engineering and ...
Engineer II Premium
$82K - $110K/yr
... Matplotlib - Vector databases (ChromaDB, FAISS, pgvector) - Cloud Deployment (AWS/GCP/Azure) - Docker - Git - AI/ML Skills: - Retrieval-Augmented Generation (RAG) - Prompt engineering and ...
AI Platform Architect
Scottsdale, AZ · On-site
Experience designing RAG pipelines and working with vector databases at production scale * Experience implementing agentic workflows or function-calling integrations with LLMs * Experience working ...
AI Platform Architect
Scottsdale, AZ · On-site
Experience designing RAG pipelines and working with vector databases at production scale * Experience implementing agentic workflows or function-calling integrations with LLMs * Experience working ...
AI Platform Architect
Scottsdale, AZ · On-site
Experience designing RAG pipelines and working with vector databases at production scale * Experience implementing agentic workflows or function-calling integrations with LLMs * Experience working ...
AI Platform Architect
Scottsdale, AZ · On-site
Experience designing RAG pipelines and working with vector databases at production scale * Experience implementing agentic workflows or function-calling integrations with LLMs * Experience working ...
Practical knowledge of model orchestration frameworks (e.g., LangChain, LlamaIndex, CrewAI), Familiarity with vector databases Experience with cloud platforms (AWS, Azure AI, Google Cloud Vertex AI ...
Quick apply
Practical knowledge of model orchestration frameworks (e.g., LangChain, LlamaIndex, CrewAI), Familiarity with vector databases Experience with cloud platforms (AWS, Azure AI, Google Cloud Vertex AI ...
AI Platform Architect
Scottsdale, AZ · On-site
$120 - $150/hr
Experience designing RAG pipelines and working with vector databases at production scale * Experience implementing agentic workflows or function‑calling integrations with LLMs * Experience working ...
AI Platform Architect
Scottsdale, AZ · On-site
$120 - $150/hr
Experience designing RAG pipelines and working with vector databases at production scale * Experience implementing agentic workflows or function‑calling integrations with LLMs * Experience working ...
Senior Database Security Engineer
Phoenix, AZ · On-site
$123K - $215K/yr
Solid understanding of data engineering principles, including ETL pipelines, structured/unstructured data management, and vector databases. * Strong understanding of anomaly detection, classification ...
Senior Database Security Engineer
Phoenix, AZ · On-site
$123K - $215K/yr
Solid understanding of data engineering principles, including ETL pipelines, structured/unstructured data management, and vector databases. * Strong understanding of anomaly detection, classification ...
Senior Database Security Engineer
Phoenix, AZ · On-site
$105K - $143K/yr
Solid understanding of data engineering principles, including ETL pipelines, structured/unstructured data management, and vector databases. * Strong understanding of anomaly detection, classification ...
Senior Database Security Engineer
Phoenix, AZ · On-site
$105K - $143K/yr
Solid understanding of data engineering principles, including ETL pipelines, structured/unstructured data management, and vector databases. * Strong understanding of anomaly detection, classification ...
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 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 is the difference between Vector Databases vs Data Engineers?
| Aspect | Vector Databases | Data Engineers |
|---|---|---|
| Required Skills | Database management, data modeling, query optimization | Data pipeline development, ETL processes, programming |
| Work Environment | Data storage systems, AI/ML projects, cloud platforms | Data infrastructure, cloud environments, big data tools |
| Industry Usage | AI, machine learning, recommendation systems | Data 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 popular job titles related to Vector Databases jobs in Mesa, AZ?
For Vector Databases jobs in Mesa, AZ, the most frequently searched job titles are:
What job categories do people searching Vector Databases jobs in Mesa, AZ look for?
The top searched job categories for Vector Databases jobs in Mesa, AZ are:
What cities near Mesa, AZ are hiring for Vector Databases jobs?
Cities near Mesa, AZ with the most Vector Databases job openings:
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Posted yesterday
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Job description
Role: Oracle / PostgreSQL Database Engineer with AWS/Google Cloud Platform Cloud Location: Phoenix, AZ (Onsite 5 days a week) Duration: Long Term
We are seeking an experienced Data Engineer with strong expertise in data engineering databases and cloud technologies along with solid knowledge of database and application architecture The ideal candidate will have hands-on experience building scalable data pipelines and data platforms strong SQL and data modeling skills working knowledge of Python and exposure to AI/ML and Generative AI technologies.
This role will work closely with application architects database architects cloud engineers data scientists and application development teams to design and implement reliable scalable secure and high performance data solutions.
Key Responsibilities
Design and define enterprise level database architectures standards patterns and best practices
Evaluate and select appropriate relational NoSQL and cloud-native database technologies based on business and technical requirements
Design scalable database solutions covering data modeling availability resiliency backup recovery replication and disaster recovery
Provide expertise in database technologies such as PostgreSQL, MySQL, Oracle SQL Server, MongoDB or similar platforms
Design and support database solutions on cloud platforms such as AWS Microsoft Azure or Google Cloud Platform Google Cloud Platform Lead or support on-premises to cloud database migrations and modernization initiatives
Optimize database performance through query tuning indexing partitioning capacity planning and database configuration
Establish database security standards including encryption access controls auditing data protection and compliance requirements
Collaborate with application architects and engineering teams on database design APIs data access patterns and integration solutions
Use Python for basic database automation scripting data processing validation and operational tasks
Work with AIML and GenAI teams to understand data requirements and support AI enabled applications
Provide basic architectural guidance for AI related data patterns including embeddings vector databases vector search and Retrieval Augmented Generation RAG Evaluate emerging database cloud and AI technologies and recommend solutions where appropriate
Create and maintain architecture diagrams database standards technical documentation and design decisions Provide technical leadership architecture reviews troubleshooting support and mentoring to engineering teams
Strong experience in database architecture database engineering or database administration
Deep understanding of relational database concepts SQL data modeling normalization indexing transactions and performance optimization
Experience with one or more major database platforms such as PostgreSQL, Oracle SQL Server, MySQL, MongoDB or equivalent
Hands-on experience with AWS Azure or Google Cloud Platform particularly managed database services
Understanding of cloud architecture concepts including scalability high availability security monitoring backup and disaster recovery
Experience designing or supporting database migration and modernization initiatives
Basic to intermediate Python skills for scripting automation and data processing
Basic understanding of Artificial Intelligence Machine Learning and Generative AI concepts
Familiarity with AI related technologies such as vector databases embeddings semantic search LLMs and RAG is preferred
Strong problem solving analytical communication and documentation skills
Ability to collaborate effectively with architects developers data engineers infrastructure teams security teams and business stakeholders
Experience with cloud native and distributed database architectures
Experience with Infrastructure as Code and DevOps CICD practices
Knowledge of database observability monitoring and automated operations
Experience with data governance security privacy and regulatory requirements Exposure to AIML platforms and cloud based AI services
Experience supporting largescale high volume highly available enterprise systems
About SRS Consulting
Sourced by ZipRecruiter
Industry
It services
Company size
51 - 200 Employees
Headquarters location
Fremont, CA, US
Year founded
2002