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Pinecone Vector Databases Jobs in Florida (NOW HIRING)

... vector databases Pinecone or Chroma or FAISS Ability to quickly conduct experiments and analyze the features and capabilities of newer versions of the LLM models as they come into market Basic data ...

... vector databases Pinecone or Chroma or FAISS Ability to quickly conduct experiments and analyze the features and capabilities of newer versions of the LLM models as they come into market Basic data ...

... vector databases Pinecone or Chroma or FAISS Ability to quickly conduct experiments and analyze the features and capabilities of newer versions of the LLM models as they come into market Basic data ...

... vector databases Pinecone or Chroma or FAISS Ability to quickly conduct experiments and analyze the features and capabilities of newer versions of the LLM models as they come into market Basic data ...

... vector search engines (e.g., FAISS, Pinecone, Weaviate), and LLM integration. • Solid ... databases PostgreSQL, schema design, migrations (Alembic/similar), query optimization, and async ...

Gen AI Tech Lead

Tampa, FL · On-site

$132K - $162K/yr

... vector search engines (e.g., FAISS, Pinecone, Weaviate), and LLM integration. • Solid ... databases PostgreSQL, schema design, migrations (Alembic/similar), query optimization, and async ...

Practical experience implementing RAG architectures using vector databases such as Pinecone, Weaviate, Chroma, Qdrant, or FAISS. * Understanding of software engineering best practices including Git ...

Gen AI Technology Lead

Tampa, FL · On-site

$113K - $170K/yr

Vector databases (PostgreSQL + pgvector, Pinecone, Weaviate, FAISS, etc.) * Advanced retrieval strategies (hybrid search, re-ranking, metadata filtering) * Experience with multi-agent systems ...

AI Solution Architect

Miami, FL · On-site

$60.25 - $79.50/hr

Vector Databases: Azure Cosmos DB, Pinecone, or Weaviate * DevOps & MLOps: Azure DevOps, GitHub Actions, Docker, Kubernetes About EisnerAmper: EisnerAmper is one of the largest accounting, tax, and ...

AI Solution Architect

Fort Myers, FL · On-site +1

$58.75 - $77.50/hr

Vector Databases: Azure Cosmos DB, Pinecone, or Weaviate * DevOps & MLOps: Azure DevOps, GitHub Actions, Docker, Kubernetes About EisnerAmper: EisnerAmper is one of the largest accounting, tax, and ...

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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 Florida? For Pinecone Vector Databases jobs in Florida, the most frequently searched job titles are:
What cities in Florida are hiring for Pinecone Vector Databases jobs? Cities in Florida with the most Pinecone Vector Databases job openings:
Infographic showing various Pinecone Vector Databases job openings in Florida as of July 2026, with employment types broken down into 87% Full Time, 8% Part Time, 2% Temporary, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.
Architect (ATC)

Full-time

Re-posted 7 days ago


Job description

We are looking for a highly skilled and experienced Senior Lead /GEN AI Architect to join our team As an Lead Software Engineer you will be responsible for designing and overseeing the construction of buildings and structures. Your main goal will be to ensure that all projects are completed on time within budget and meet the client s specifications This is a full-time position and you will be required to work from the clients office The ideal candidate will have at least 6 years of work experience in the field of architecture and a strong understanding of building codes and regulations You should also have excellent communication and project management skills as you will be working closely with clients contractors and other team members If you are a creative problem solver with a passion for architecture we would love to hear from you Extensive implementation experience in data analytics space or a senior developer role in one of the modern technology stack Excellent programming skills and proficiency in at least one of the major programming scripting languages used in Gen AI orchestration such as Python or PySpark or Java Ability to build API based scalable solutions and debug troubleshoot software or design issues Hands on exposure to integrating atleast one of the popular LLMs Open AI GPT PaLM 2 Dolly Claude 2 Cohere etc using API endpoints Thorough understanding of prompt engineering implementation exposure to LLM agents like LangChain vector databases Pinecone or Chroma or FAISS Ability to quickly conduct experiments and analyze the features and capabilities of newer versions of the LLM models as they come into market Basic data engineering skills to load structured unstructured data from source systems to target data stores Work closely with Gen AI leads and other team members Strong in Requirement tracking JIRA, Citi systems
Strong in stakeholder managementHands on exposure to integrating atleast one of the popular LLMs Open AI GPT PaLM 2 Dolly Claude 2 Cohere etc using API endpoints Thorough understanding of prompt engineering implementation exposure to LLM agents like LangChain vector databases Pinecone or Chroma or FAISS Ability to quickly conduct experiments and analyze the features and capabilities of newer versions of the LLM models as they come into market Basic data engineering skills to load structured unstructured data from source systems to target data stores Work closely with Gen AI leads


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About Virtusa

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We are builders, makers, and doers with the technical skills and domain expertise to transform your business at scale and speed without disruption. Our unique Engineering First approach blends deep industry expertise and empowered, agile teams, to create holistic solutions that seamlessly move the business forward. We help clients engage with new technology paradigms to creatively build solutions that drive them to the forefront of their industries.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Westborough, MA, US

Year founded

1996

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