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Vector Databases Jobs in Miami, FL (NOW HIRING)

Trax USA Corp

Lead Architect - Airvoyant

Miami, FL · On-site

$52.75 - $72.50/hr

Experience with vector databases and AI orchestration platforms. * Aviation, MRO, airline operations, or supply chain domain experience. * AWS Solutions Architect certification. Location: Miami ...

Apply Early

HTC Global Services

.NET Solution Architect

Doral, FL · On-site

$58.25 - $76.75/hr

Vector databases * AI agents and autonomous workflows * Experience implementing AI-enabled SDLC and developer productivity accelerators. * Exposure to AIOps and intelligent monitoring frameworks.

HTC Global Services

.NET Solution Architect

Doral, FL · On-site

$58.25 - $76.75/hr

Vector databases * AI agents and autonomous workflows * Experience implementing AI-enabled SDLC and developer productivity accelerators. * Exposure to AIOps and intelligent monitoring frameworks.

Eisneramper Llp

AI Solution Architect

Fort Lauderdale, FL · On-site +1

$60.25 - $79.25/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 ...

Technologent

AI Architect

Sunrise, FL · On-site

Familiarity with embeddings, vector databases, and semantic search systems. What We Are Looking For * Strong Software Architect passionate about building AI-driven systems. * Experience delivering ...

Lindsay & Brownell

AI Solution Architect

Miami, FL · On-site +1

$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 ...

Eisneramper Llp

AI Solution Architect

Miami, FL · On-site +1

$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 ...

Lindsay & Brownell

AI Solution Architect

Fort Lauderdale, FL · On-site +1

$60.25 - $79.25/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 ...

Technologent

AI Architect

Sunrise, FL · On-site

Familiarity with embeddings, vector databases, and semantic search systems. What We Are Looking For * Strong Software Architect passionate about building AI-driven systems. * Experience delivering ...

Humana

Lead Solutions Architect

Fort Lauderdale, FL · On-site

Proven ability to integrate AI systems with event-driven microservices, vector databases/feature stores, and CI/CD pipelines, while leading reference architectures and cross-cloud patterns that scale ...

East Harbor

AI Operator / Engineer

Miami, FL · On-site

$70K - $110K/yr

Experience with RAG systems, vector databases, or AI agent frameworks * Familiarity with document processing, OCR, or structured data extraction from unstructured sources * Exposure to financial ...

Humana

Lead Solutions Architect

Fort Lauderdale, FL · On-site

Proven ability to integrate AI systems with event-driven microservices, vector databases/feature stores, and CI/CD pipelines, while leading reference architectures and cross-cloud patterns that scale ...

Compass

Engineering Manager

Aventura, FL · Hybrid

Practical understanding of building applications using Generative AI, including prompt orchestration, retrieval-augmented generation (RAG), LLM APIs, and vector databases. * Operational Execution ...

Humana

Lead Solutions Architect

Fort Lauderdale, FL · On-site

Proven ability to integrate AI systems with event-driven microservices, vector databases/feature stores, and CI/CD pipelines, while leading reference architectures and cross-cloud patterns that scale ...

Compass

Senior Engineering Manager

Aventura, FL · Hybrid

Deep familiarity with modern LLM application architectures, vector databases, prompt design, fine-tuning, retrieval-augmented generation (RAG), and agent orchestration libraries. * Hybrid Team ...

Pwc

ERP AI Engineer - Manager

Miami, FL · On-site

$99K - $232K/yr

... with vector databases and semantic search architectures - Translating complex business problems into AI solution designs - Contributing to business development and proposal writing - Cloud ...

Brooksource

AI Engineer

Miami, FL · On-site

$55 - $65/hr

Experience with vector databases (Pinecone, Weaviate, Milvus, pgvector, ChromaDB, etc.) * Preferred: Experience with Model Context Protocol (MCP) * Preferred: Experience building multi-agent systems

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All JobsVector Databases JobsVector Databases Jobs in Miami, FL

Vector Databases information

What is the salary of a vector database developer?

The salary of a vector database developer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and company size. Skilled developers with expertise in machine learning, data structures, and database management may earn higher salaries, especially in tech hubs or with advanced certifications.

Are vector databases the future?

Vector database jobs involve managing and optimizing databases designed for high-dimensional vector data, which are essential for AI and machine learning applications. As AI continues to grow, demand for professionals skilled in vector database technologies and related tools like embedding models is expected to increase, making this a promising field for future job opportunities.

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 is the difference between Vector Databases vs Data Engineers?

AspectVector DatabasesData Engineers
Required SkillsDatabase management, data modeling, query optimizationData pipeline development, ETL processes, programming
Work EnvironmentData storage systems, AI/ML projects, cloud platformsData infrastructure, cloud environments, big data tools
Industry UsageAI, machine learning, recommendation systemsData 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 can you do with a vector database?

A vector database is used in roles involving data management and machine learning to store, search, and retrieve high-dimensional vector representations of data such as images, text, or audio. It enables efficient similarity searches, supporting applications like recommendation systems, natural language processing, and computer vision. Working with a vector database often requires knowledge of data structures, indexing techniques, and programming skills in languages like Python or C++.

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 are the top 5 vector databases?

Top vector databases used in data management and AI applications include Pinecone, Weaviate, FAISS, Milvus, and Annoy. These databases are optimized for storing and searching high-dimensional vector data, often requiring skills in machine learning and database management. They are widely adopted for tasks like similarity search and recommendation systems.
What are popular job titles related to Vector Databases jobs in Miami, FL? For Vector Databases jobs in Miami, FL, the most frequently searched job titles are:
What job categories do people searching Vector Databases jobs in Miami, FL look for? The top searched job categories for Vector Databases jobs in Miami, FL are:
What cities near Miami, FL are hiring for Vector Databases jobs? Cities near Miami, FL with the most Vector Databases job openings:
Vector Databases jobs near you
Lead Architect - Airvoyant

Lead Architect - Airvoyant

Trax USA Corp

Miami, FL • On-site

$52.75 - $72.50/hr

Full-time

Posted 17 days ago

Be an early applicant

Job description

Description:

About Us

Airvoyant is building AI-powered aviation software that transforms aircraft maintenance, supply chain operations, and fleet management. We leverage cloud-native technologies, AI, and intelligent automation to help airlines, MROs, and aviation suppliers improve operational efficiency and decision-making.


We are seeking a Lead Architect to define and drive the technical architecture of our AI-first platform. This role will lead the design of scalable cloud-native applications, Agentic AI solutions, enterprise integrations, and data platforms that power mission-critical aviation workflows.

The ideal candidate combines deep architecture expertise with hands-on experience building AI-enabled systems on AWS.


Responsibilities

  • Define and own the architecture strategy for Airvoyant's AI-powered platform.
  • Design scalable solutions leveraging Generative AI, Agentic AI, RAG, and intelligent automation.
  • Lead architecture for cloud-native applications, APIs, microservices, and event-driven systems.
  • Establish architectural standards, governance, security, and best practices.
  • Partner with Product, Engineering, and Data Science teams to translate business needs into scalable technical solutions.
  • Drive technology selection, proof-of-concepts, and architecture reviews.
  • Mentor engineering teams and provide technical leadership across the organization.
  • Design integrations with aviation, MRO, ERP, and supply chain systems.?
  • Other duties as assigned.
Requirements:

Required Skills and Qualifications

  • Bachelor's degree in Computer Science, Engineering, or related field.
  • 10+ years of software engineering and architecture experience.
  • 5+ years architecting cloud-native applications on AWS.
  • Strong expertise in:
  • AI/LLM-based solutions
  • Agentic AI and RAG architectures
  • Microservices and distributed systems
  • API-first and event-driven architectures
  • Enterprise integration patterns
  • Hands-on experience with AWS services including Lambda, ECS/EKS, API Gateway, S3, RDS, EventBridge, SQS/SNS, CloudWatch, and IAM.
  • Experience designing highly scalable, secure, and resilient SaaS platforms.
  • Strong leadership, communication, and stakeholder management skills.?

Preferred Skills and Qualifications

  • Experience architecting data-intensive solutions leveraging Amazon RedShift and Amazon S3 Data lakes for analytics, AI/ML, and operational intelligence.
  • Experience with vector databases and AI orchestration platforms.
  • Aviation, MRO, airline operations, or supply chain domain experience.
  • AWS Solutions Architect certification.

Location: Miami preferred (or Dallas considered)

Job Type: Full-Time

Level: Senior / Principal

Travel: Less than 15%


Trax USA Corp. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.