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Pinecone Vector Databases Jobs in California (NOW HIRING)

Confiz Limited

AI Solutions Architect

San Mateo, CA · On-site

$180 - $240/hr

Experience with vector databases (Pinecone, Weaviate, Snowflake Cortex). * Exposure to containerization (Docker/Kubernetes) and infrastructure-as-code (Terraform/Bicep). * Prior experience in a ...

Confiz LLC

AI Solutions Architect

San Mateo, CA · On-site

$71.75 - $94.50/hr

Experience with vector databases (Pinecone, Weaviate, Snowflake Cortex). * Exposure to containerization (Docker/Kubernetes) and infrastructure-as-code (Terraform/Bicep). * Prior experience in a ...

New

TSMC

Senior Data Engineer / Data Curator

San Jose, CA · On-site

$124K - $168K/yr

... with vector databases and indexing for LLMs (e.g., FAISS, Pinecone). Company : Established in 1987, TSMC is the world's first dedicated semiconductor foundry. Founded in 1987, the company is ...

Kiddom, Inc

Senior Data Engineer

San Francisco, CA · On-site

$160K - $230K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Experience with vector databases (Pinecone, Weaviate, pgvector) or embedding pipeline tooling * Familiarity with agentic AI patterns or Model Context Protocol (MCP) What we offer * Full time ...

Tempus

Data Architect, Next Platform

Redwood City, CA · On-site +1

$150K - $200K/yr

Experience with Vector databases (e.g., Pinecone, Weaviate, or pgvector) or Graph databases to support RAG and agentic memory. * Cloud Architecture: Hands-on experience with GCP (BigQuery, Vertex AI ...

Bayrock Labs

AI Engineer

Newark, CA · On-site

$80 - $90/hr

Experience with vector databases (e.g., Pinecone, Weaviate, FAISS) for retrieval-augmented generation. * Familiarity with MLOps tools (MLflow, Kubeflow, or similar). * Knowledge of prompt engineering ...

Veritone

AI/Machine Learning Engineer

Irvine, CA · On-site

  • Medical

  • Life

  • Retirement

  • PTO

Python, PyTorch / TensorFlow, Hugging Face, LangChain / LlamaIndex, Vector DBs (e.g., Pinecone ... Professional experience working with RDBMSs, NoSQL DBs, and Vector Databases. * Demonstrated ...

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Pinecone Vector Databases information

What is a Pinecone vector database?

A Pinecone Vector Database is a cloud-based service designed to efficiently store, index, and search high-dimensional vector data, such as embeddings generated by machine learning models. It enables fast similarity search, making it ideal for use cases like semantic search, recommendation systems, and AI-powered applications. Pinecone handles the complexity of scaling and managing vector data, so developers can focus on building intelligent applications without worrying about infrastructure.

What are the key skills and qualifications needed to thrive as a Pinecone vector database engineer, and why are they important?

To thrive as a Pinecone Vector Database Engineer, you need a strong background in computer science, data engineering, and experience with large-scale distributed systems, often supported by a relevant degree or equivalent experience. Proficiency in Python, REST APIs, cloud platforms (AWS, GCP), and vector search technologies, along with familiarity with Pinecone’s SDK and database management, are commonly required. Strong analytical thinking, problem-solving abilities, and effective communication skills help you collaborate with cross-functional teams and deliver scalable solutions. These skills ensure robust database performance, efficient data retrieval, and successful integration of vector search capabilities into real-world applications.

What are some common challenges faced by engineers working with Pinecone vector databases, and how can they be addressed?

Engineers working with Pinecone Vector Databases often encounter challenges such as optimizing vector search performance at scale, ensuring data consistency across distributed systems, and integrating the database with various machine learning pipelines. Addressing these challenges typically involves tuning indexing parameters, monitoring resource utilization, and collaborating closely with data scientists to understand retrieval requirements. Regularly reviewing documentation and participating in community forums can also help engineers stay current with best practices and new features.

What is the difference between Pinecone Vector Databases vs Data Engineers?

AspectPinecone Vector DatabasesData Engineers
Primary RoleManaging and deploying vector database solutions for AI/ML applicationsDesigning, building, and maintaining data pipelines and infrastructure
Skills & CertificationsKnowledge of vector databases, cloud platforms, programming (Python, SQL)Data modeling, ETL processes, cloud services, programming (Python, Java)
Work EnvironmentTech companies, AI startups, cloud providersData-driven organizations, tech firms, finance, healthcare

While Pinecone Vector Databases specialists focus on deploying and managing vector database solutions for AI applications, Data Engineers build and maintain the data infrastructure that supports these systems. Both roles require programming skills and familiarity with cloud platforms, but their core responsibilities differ: one centers on database management, the other on data pipeline development.

What are popular job titles related to Pinecone Vector Databases jobs in California?

For Pinecone Vector Databases jobs in California, the most frequently searched job titles are:

What job categories do people searching Pinecone Vector Databases jobs in California look for?

The top searched job categories for Pinecone Vector Databases jobs in California are:

What cities in California are hiring for Pinecone Vector Databases jobs?

Cities in California with the most Pinecone Vector Databases job openings:

Pinecone Vector Databases jobs near you
Infographic showing various Pinecone Vector Databases job openings in California as of August 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 81% Physical, 6% Hybrid, and 13% Remote job distribution.

AI Solutions Architect

Confiz Limited

San Mateo, CA • On-site

$180 - $240/hr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Confiz is seeking an AI Architect in San Mateo, CA who can design and drive end-to-end AI-powered solutions from data engineering and model architecture to full-stack integration and deployment. This role bridges data platforms, AI/ML systems, and application development, ensuring solutions are scalable, secure, and production-ready.

Work Type: Hybrid

Responsibilities
  • Design and architect AI/ML solutions, including LLM-based applications, agentic systems, and predictive models, aligned with business objectives.
  • Define data architecture and pipelines using Databricks (Delta Lake, Unity Catalog, MLflow) for large-scale data processing and model training/serving.
  • Architect full-stack solutions that integrate AI models into web/enterprise applications — covering front-end, back-end APIs, and cloud infrastructure.
  • Evaluate and select appropriate AI frameworks, LLM providers (OpenAI, Anthropic, Azure AI Foundry, etc.), and vector databases for use-case fit.
  • Establish best practices for model lifecycle management: versioning, monitoring, retraining, and governance.
  • Collaborate with data engineers, ML engineers, full-stack developers, and product owners to translate business requirements into technical architecture.
  • Design scalable, secure, and cost-optimized cloud architectures (Azure/AWS/GCP) for AI workloads.
  • Conduct architecture reviews, POCs, and technical feasibility assessments for new AI initiatives.
  • Mentor engineering teams on AI integration patterns, prompt engineering, RAG pipelines, and agentic workflows.
  • Ensure solutions meet performance, security, and compliance standards (data privacy, responsible AI practices).
Requirements
  • 10+ years in software/solution architecture, with 4+ years specifically in AI/ML architecture.
  • AI/ML: Strong understanding of LLMs, RAG architectures, agentic AI systems, prompt engineering, model fine-tuning, and MLOps.
  • Databricks: Hands-on experience with Databricks Lakehouse (Delta Lake, Unity Catalog, MLflow, Databricks Workflows), Spark-based data processing.
  • Full-Stack Development: Working knowledge of front-end (React/Angular) and back-end (Node.js/.NET/Python) development, API design (REST/GraphQL), and microservices architecture.
  • Cloud Platforms: Experience with Azure (AI Foundry, Cognitive Services) and/or AWS/GCP AI & data services.
  • Data Engineering: Familiarity with ETL/ELT pipelines, data modeling, and data governance.
  • Programming: Python (mandatory), plus exposure to SQL, and at least one full-stack language (JavaScript/TypeScript, C#, or Java).
  • Architecture: Proven experience designing scalable, distributed systems; solid grasp of system design principles, security, and DevOps/CI-CD practices.
  • Strong stakeholder communication skills — ability to translate technical architecture into business value for both technical and non-technical audiences.
Nice to Have
  • Experience with vector databases (Pinecone, Weaviate, Snowflake Cortex).
  • Exposure to containerization (Docker/Kubernetes) and infrastructure-as-code (Terraform/Bicep).
  • Prior experience in a client-facing or pre-sales/solutioning capacity.
  • Certifications in Azure/AWS AI or Databricks (Databricks Certified Data Engineer/ML Associate).

We have a global team of amazing individuals working on highly innovative enterprise projects & products. Our customer base includes Fortune 100 retail and CPG companies, leading store chains, fast growth fintech, and multiple Silicon Valley startups.

What makes Confiz stand out is our focus on processes and culture. Confiz is ISO 9001:2015 (QMS), ISO 27001:2022 (ISMS), ISO 20000-1:2018 (ITSM) and ISO 14001:2015 (EMS) Certified. We have a vibrant culture of learning via collaboration and making workplace fun.

People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves.

To know more about Confiz Limited, visit https://www.linkedin.com/company/confiz/

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