1

Vector Database Job Jobs in Dallas, TX (NOW HIRING)

Senior Database Architect

Dallas, TX · On-site

$66.50 - $89/hr

Architect vector database solutions for RAG implementations: embedding strategies, chunking approaches, similarity search optimization, and hybrid retrieval patterns * Design and implement embedding ...

Posted today

Senior Database Architect

Dallas, TX · On-site

$66.50 - $89/hr

Architect vector database solutions for RAG implementations: embedding strategies, chunking approaches, similarity search optimization, and hybrid retrieval patterns * Design and implement embedding ...

Posted today

Sr. Data/GenAI Engineer

Irving, TX · On-site

$101K - $138K/yr

... vector database. o Serve as the subject matter expert on data sources, liaising with data owners to understand structures, access patterns, and semantics. o Ensure the data ingestion pipeline is ...

Data Engineer - Dallas, TX

Dallas, TX · On-site

$113K - $136K/yr

Vector Database Management: Architect and optimize Vector Databases (e.g., Pinecone, Weaviate, Milvus, or Qdrant) to ensure high-speed, relevant similarity searches for agentic retrieval. * Chunking ...

Data Engineer - Dallas, TX

Dallas, TX

$113K - $136K/yr

Vector Database Management: Architect and optimize Vector Databases (e.g., Pinecone, Weaviate, Milvus, or Qdrant) to ensure high-speed, relevant similarity searches for agentic retrieval. * Chunking ...

Vector Database Management: Architect and optimize Vector Databases (e.g., Pinecone, Weaviate, Milvus, or Qdrant) to ensure high-speed, relevant similarity searches for agentic retrieval. * Chunking ...

Vector Database Management: Architect and optimize Vector Databases (e.g., Pinecone, Weaviate, Milvus, or Qdrant) to ensure high-speed, relevant similarity searches for agentic retrieval. * Chunking ...

Strategically manage structured and unstructured data, overseeing both traditional SQL/NoSQL databases and advanced vector databases to enable context-aware and intelligent AI systems. • Champion ...

AI Engineer

Fort Worth, TX · On-site

$114K - $150K/yr

Build and manage vector database solutions using Pinecone, Weaviate, Milvus, FAISS, Chroma, OpenSearch Vector Engine, Azure AI Search, Vertex AI Vector Search, or pgvector. * Deploy and optimize LLM ...

Evaluate emerging AI, machine learning, vector database, semantic search, and Redis AI capabilities to support future platform strategy * Design intelligent operational workflows that leverage AI to ...

Test the speed and efficiency of the vector database retrieval process. Identify how increasing the "context window" size impacts overall system performance. * Token Throughput Monitoring: Analyze ...

QA Engineer (Performance)- Dallas, TX

Dallas, TX · On-site

$138K/yr

Test the speed and efficiency of the vector database retrieval process. Identify how increasing the "context window" size impacts overall system performance. * Token Throughput Monitoring: Analyze ...

Oversee the integration of Vector Databases (e.g., Pinecone, Weaviate, or PGVector) and design "memory" systems that allow agents to retain context across sessions. * Observability & Tracing:

AI/ML Engineer

Plano, TX · On-site

$65 - $75/hr

Production experience with vector databases and designing ingestion + embedding pipelines for both batch and streaming workloads. * Hands-on with prompt design, evaluation, LLM orchestration, and RAG ...

AI/ML Engineer

Plano, TX · On-site

$120 - $160/hr

Production experience with vector databases and designing ingestion + embedding pipelines for both batch and streaming workloads. * Hands-on with prompt design, evaluation, LLM orchestration, and RAG ...

next page

Showing results 1-20

Vector Database Job information

See Dallas, TX salary details

$13

$31

$63

How much do vector database job jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for vector database job in Dallas, TX is $31.86, according to ZipRecruiter salary data. Most workers in this role earn between $20.91 and $38.99 per hour, depending on experience, location, and employer.

What can you do with a vector database?

A vector database used in a vector database job stores and manages high-dimensional data for tasks like similarity search, recommendation systems, and machine learning applications. It enables efficient retrieval of related data points based on vector representations, often requiring knowledge of data indexing and query optimization. Working with such databases involves skills in data modeling, algorithms, and sometimes programming in languages like Python or C++.

What job categories do people searching Vector Database Job jobs in Dallas, TX look for?

The top searched job categories for Vector Database Job jobs in Dallas, TX are:

Data AI Engineer with Vector Databases

Apex Informatics

Plano, TX • On-site

$109K - $131K/yr

Other

Re-posted 3 days ago


Job description

Title: Data AI Engineer with Vector Databases
Location: Plano, TX
Job Description:
Key Responsibilities:
  1. Design and build ETL/ELT pipelines and data processing workflows
  2. Develop batch and real-time data pipelines using modern frameworks
  3. Work with Python and SQL for data transformation and analytics
  4. Implement GenAI data architectures, including RAG pipelines and vector indexing
  5. Manage and optimize Vector Databases for embedding storage and similarity search
  6. Build secure data solutions on AWS, ensuring data quality and compliance
  7. Support analytics, reporting, and data modernization initiatives

Required Skills:
  1. Strong experience in Python and SQL
  2. Hands-on experience with ETL/ELT and data pipelines
  3. Mandatory: Experience with Vector Databases
  4. Experience with GenAI / LLM frameworks (LangChain or LangGraph)
  5. Experience with Big Data frameworks (Apache Spark, Apache Kafka)
  6. Workflow orchestration using Apache Airflow
  7. Experience with data platforms like Databricks or Snowflake
  8. AWS services: S3, Glue, Redshift

Nice to Have:
  1. Experience with ML frameworks (Scikit-learn, PyTorch)
  2. Knowledge of RAG architectures and embedding pipelines
  3. Experience in financial services / fintech environments