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Vector Ai Jobs in Florida (NOW HIRING)

AI Architect - Onsite Location: Miami, FL Duration: 6 months GBaMS ReqID: 10641871 JD: * 10-15 ... Proven track record architecting RAG systems, vector search, and LLM-based knowledge platforms.

Job Title AI Architect Estimated Start Date ASAP Location Miami, FL Duration(Months) 6 months ... Proven track record architecting RAG systems, vector search, and LLM-based knowledge platforms.

AI Architect

Miami, FL · On-site

$120K - $140K/yr

Must Have Technical/Functional Skills • 1015 years in AI, ML, or enterprise architecture roles. • Proven track record architecting RAG systems, vector search, and LLM-based knowledge platforms ...

AI/ML Engineer

Miami, FL · On-site +1

$120K - $150K/yr

Work with vector databases for semantic search applications. * Perform data preprocessing, feature engineering, and model evaluation. * Integrate AI models into production environments using APIs.

AI Architect

Tampa, FL

$59.50 - $78.50/hr

Experience with embeddings, vector databases, RAG patterns, LangChain, Semantic Kernel and MLflow ... AI Strategy & Enterprise Architecture* Evaluate and recommend AI models, APIs and platforms (e.g ...

Experience with embeddings, vector databases, RAG patterns, LangChain, Semantic Kernel and MLflow ... AI Strategy & Enterprise Architecture * Evaluate and recommend AI models, APIs and platforms (e.g ...

AI Engineer Job Location: Lake Mary, FL (3 Days Onsite) Job Type: Contract Need 11+ Years of ... Vector database - pgvector * Hybrid search (keyword (BM25) + semantic) * Re-ranking and relevance ...

... vector search, knowledge graphs, and LLMs to provide contextual and accurate responses. • Architect agentic AI systems that perform autonomous tasks by chaining actions, managing states, and ...

Gen AI Tech Lead

Tampa, FL · On-site

$132K - $162K/yr

... vector search, knowledge graphs, and LLMs to provide contextual and accurate responses. • Architect agentic AI systems that perform autonomous tasks by chaining actions, managing states, and ...

Build and support retrieval-augmented generation (RAG), embeddings, vector search, document ingestion pipelines, prompt workflows, and AI assistant capabilities for internal users and distributor ...

... vector databases embeddings and prompt orchestration frameworks • PythonBased Application Development • Build scalable AI services automation tools and backend components using Python • Data ...

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Vector Ai information

What are the key skills and qualifications needed to thrive as a Vector AI engineer?

To thrive as a Vector AI Engineer, you need strong foundations in mathematics, machine learning, and computer science, often supported by a degree in a related field. Expertise with vector databases (such as Pinecone or FAISS), programming languages like Python, and knowledge of frameworks like TensorFlow or PyTorch are typically required. Excellent problem-solving, analytical thinking, and effective communication skills help you translate complex business requirements into scalable AI solutions. These qualifications are crucial for developing, deploying, and maintaining efficient AI systems that leverage vector search and representation for real-world applications.

What are some common challenges faced by professionals working in Vector AI roles, and how can they be addressed?

Professionals in Vector AI roles often face challenges such as managing large-scale, high-dimensional data, ensuring model scalability, and optimizing search algorithms for speed and accuracy. Collaborating closely with data engineers, software developers, and product managers is crucial to integrate AI vector solutions effectively into products. Staying updated on the latest advancements in vector databases and similarity search techniques can also be demanding, so continuous learning and participation in relevant communities are highly beneficial. Adopting best practices for model evaluation and experiment tracking can help address these challenges and drive project success.

What is the difference between Vector Ai vs Data Analyst?

AspectVector AiData Analyst
Required CredentialsTechnical certifications, programming skillsDegree in statistics, data science, or related field
Work EnvironmentTech companies, AI development teamsBusiness, finance, healthcare sectors
Industry UsageAI, machine learning, software developmentData interpretation, reporting, decision support

Vector Ai professionals focus on developing and implementing AI algorithms, requiring technical skills and programming knowledge. Data Analysts interpret data to inform business decisions, often working with statistical tools. While both roles handle data, Vector Ai is more specialized in AI technology, whereas Data Analysts focus on data insights and reporting.

What is a Vector AI?

Vector AI typically refers to professionals or technologies focused on vector-based artificial intelligence, which involves the use of high-dimensional vectors to represent data and perform machine learning tasks. These experts work on algorithms that process and analyze vector data for applications like image recognition, natural language processing, and recommendation systems. Their work is crucial in making AI systems more efficient at understanding complex patterns in large datasets. In some contexts, 'Vector AI' may also refer to companies or platforms developing such technologies.
What are popular job titles related to Vector Ai jobs in Florida? For Vector Ai jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Vector Ai jobs in Florida look for? The top searched job categories for Vector Ai jobs in Florida are:
What cities in Florida are hiring for Vector Ai jobs? Cities in Florida with the most Vector Ai job openings:

AI Architect

VIS IT Solutions Inc

Miami, FL • On-site

Contractor

Re-posted 20 days ago


Job description

Hi,

Please find the job description below

Role: AI Architect – Onsite

Location: Miami, FL

Duration: 6 months

GBaMS ReqID: 10641871

JD:

• 10–15 years in AI, ML, or enterprise architecture roles.

• Proven track record architecting RAG systems, vector search, and LLM-based knowledge platforms.

• Strong hands-on experience with:

o Python

o Cloud ML platforms-Azure

o Vector DBs (Pinecone, DB Vector)

o LangChain / LlamaIndex or similar orchestration frameworks o Fine tuning & embeddings • Experience/familiarity with document chunking, knowledge graphs, and vectorization • Expertise in document AI, NLP, and unstructured data processing.

• Strong architectural skills across:

o Data pipelines

o APIs and event-driven systems

o Containerization (Docker/K8s)

o Security-by-design

• Experience in financial services, preferably in commercial real estate credit, servicing, or asset management.