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Vector Databases Jobs in Miami, FL (NOW HIRING)

... SQL and vector databases. Own these systems end to end, including retrieval (RAG) architectures, evaluation, observability, and iteration. Model selection and orchestration. Demonstrate working ...

Lead Data Engineer

Miami, FL · On-site

$109K - $131K/yr

Exposure to frameworks used for AI data preparation (e.g., LangChain, Vector Databases, or text embedding generation) Core Expertise: * Data Architecture & Enterprise Modeling: Advanced data ...

... vector databases and orchestration tools like LangChain - Translating complex business problems into software-engineered AI solutions - Deploying on cloud platforms like AWS, GCP, Azure ...

... as vector databases, LangChain, or CrewAI * 10+ years of experience using Python, Structured Query Language (SQL), R, or SAS to prepare data for analysis, engineer features, visualize data, or ...

Experience with vector databases (Pinecone, ChromaDB, FAISS, Qdrant, or similar) and embedding models. * Solid understanding of ML fundamentals - not just API calls, but how models work, when to fine ...

Experience with vector databases (Pinecone, ChromaDB, FAISS, Qdrant, or similar) and embedding models. * Solid understanding of ML fundamentals - not just API calls, but how models work, when to fine ...

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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 cities near Miami, FL are hiring for Vector Databases jobs? Cities near Miami, FL with the most Vector Databases job openings:
AI Engineer, Manager - Tax Transformation

AI Engineer, Manager - Tax Transformation

Deloitte

Miami, FL • On-site

Other

Posted 17 days ago


Deloitte rating

8.0

Company rating: 8.0 out of 10

Based on 89 frontline employees who took The Breakroom Quiz

71st of 146 rated financial services


Job description

What You'll Do

As a Deloitte Tax, AI Engineer Manager, you will oversee the design, development, deployment, and support of custom AI applications and modules to address key business needs. You will lead a team of engineers, drive project execution, manage stakeholder communications, and ensure high-quality deliverables aligned with organizational objectives.

Recruiting for this role ends on May 31, 2027.

Responsibilities:

  • Define and enforce best practices and coding standards across the project.
  • Conduct thorough code reviews to ensure adherence to established guidelines and maintain high code quality.
  • Working both independently and in close collaboration with others in the team
  • Communicating clear instructions to team members and help manage the flow of day-to-day operations
  • Communicating with the client on a regular basis 
  • Design, develop, and maintain robust and scalable Python applications.
  • Write clean, maintainable, and efficient code following best practices and coding standards.
  • Optimize code for performance and scalability, ensuring efficient data handling.
  • Work closely with cross-functional teams to deliver high-quality software solutions.
  • Identify and resolve technical issues, ensuring the reliability and performance of applications.
  • Create and maintain comprehensive documentation for code, processes, and workflows.
  • Provide guidance and mentorship to junior developers, fostering a collaborative and productive team environment.

The Team

The prospective team you will be working with is responsible for the design, development, and deployment of innovative, enterprise technology, tools, and standard processes to support the delivery of tax services. The team focuses on the ability to deliver comprehensive, value-added, and efficient tax services to our clients. It is a dynamic team with professionals of varying backgrounds from tax technical, technology development, change management, and project management. The team consults and executes on a wide range of initiatives involving process and tool development and implementation including training development, engagement management, tool design, and implementation.

Qualifications 

Required:

  • Ability to perform job responsibilities within a hybrid work model that requires US Tax professionals to co-locate in person 2 - 3 days per week.
  • Bachelor's degree in computer science, engineering, or a relevant discipline.
  • 5+ years of experience in development with demonstrated experience designing, developing, and maintaining robust Python applications.
  • Hands-on experience in web development with FastAPI, including Pydantic for data validation/schema definition.
  • Proven skills in asynchronous and parallel programming with practical experience using asyncio.
  • Experience working in Agile environments and applying core design patterns.
  • Demonstrated proficiency in .NET Core, ASP.NET Core Web API, and databases (SQL/NoSQL, Entity Framework 6+).
  • Ability to travel up to 10%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.
  • One of the following active accreditations obtained:
    • Licensed CPA in state of practice/primary office if eligible to sit for the CPA
    • If not CPA eligible:
      • Licensed Attorney
      • Enrolled Agent
      • Technology Certifications:
        • AWS Certified Solutions Architect
        • Certified in Risk and Information Systems Controls (CRISC)
        • Certified Information Systems Security Professional (CISSP)
        • Certified SAFe Advanced Scrum Master
        • Certified SAFe Agile Software Engineer
        • Certified SAFe Agilist
        • Certified SAFe Architect
        • Certified SAFe DevOps Practitioner
        • Certified SAFe Scrum Master
        • Certified Scrum Developer (CSD)
        • Certified Secure Software Lifecycle Professional (CSSLP)
        • Certified Secure Software Lifecycle Professional (CSSLP) - (ISC)2
        • Microsoft Azure

Preferred:

  • Experience with LLMs (Large Language Models) in solving real-world problems and building agentic AI applications.
  • Experience with agentic frameworks such as LangGraph.
  • Advanced prompt engineering knowledge for LLM optimization.
  • Exposure to multi-modal Gen AI models (text-image, text-audio, etc.).
  • Familiarity with Retrieval-Augmented Generation (RAG) pipelines and vector databases/hybrid search.
  • Experience with performance tuning, reusable library creation, and advanced troubleshooting.
  • Familiarity with modern front-end technologies (Angular), MongoDB, NPM, and Azure DevOps Build/Release configuration.
  • Knowledge on Angular, Mongo DB, NPM and Azure Devops Build/Release configuration.
  • Strong verbal and written communication skills; strong listening, interpersonal, and facilitation skills.
  • Self-starter with solid analytical and problem-solving skills.
  • Practical and pragmatic approach to balancing standardized processes with flexibility to meet project goals effectively.
  • Excellent organizational skills with the ability to self-manage, prioritize tasks, structure workload, and meet tight deadlines.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $128,025 to $261,625.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.


Qualifications:

What You'll Do

As a Deloitte Tax, AI Engineer Manager, you will oversee the design, development, deployment, and support of custom AI applications and modules to address key business needs. You will lead a team of engineers, drive project execution, manage stakeholder communications, and ensure high-quality deliverables aligned with organizational objectives.

Recruiting for this role ends on May 31, 2027.

Responsibilities:

  • Define and enforce best practices and coding standards across the project.
  • Conduct thorough code reviews to ensure adherence to established guidelines and maintain high code quality.
  • Working both independently and in close collaboration with others in the team
  • Communicating clear instructions to team members and help manage the flow of day-to-day operations
  • Communicating with the client on a regular basis 
  • Design, develop, and maintain robust and scalable Python applications.
  • Write clean, maintainable, and efficient code following best practices and coding standards.
  • Optimize code for performance and scalability, ensuring efficient data handling.
  • Work closely with cross-functional teams to deliver high-quality software solutions.
  • Identify and resolve technical issues, ensuring the reliability and performance of applications.
  • Create and maintain comprehensive documentation for code, processes, and workflows.
  • Provide guidance and mentorship to junior developers, fostering a collaborative and productive team environment.

The Team

The prospective team you will be working with is responsible for the design, development, and deployment of innovative, enterprise technology, tools, and standard processes to support the delivery of tax services. The team focuses on the ability to deliver comprehensive, value-added, and efficient tax services to our clients. It is a dynamic team with professionals of varying backgrounds from tax technical, technology development, change management, and project management. The team consults and executes on a wide range of initiatives involving process and tool development and implementation including training development, engagement management, tool design, and implementation.

Qualifications 

Required:

  • Ability to perform job responsibilities within a hybrid work model that requires US Tax professionals to co-locate in person 2 - 3 days per week.
  • Bachelor's degree in computer science, engineering, or a relevant discipline.
  • 5+ years of experience in development with demonstrated experience designing, developing, and maintaining robust Python applications.
  • Hands-on experience in web development with FastAPI, including Pydantic for data validation/schema definition.
  • Proven skills in asynchronous and parallel programming with practical experience using asyncio.
  • Experience working in Agile environments and applying core design patterns.
  • Demonstrated proficiency in .NET Core, ASP.NET Core Web API, and databases (SQL/NoSQL, Entity Framework 6+).
  • Ability to travel up to 10%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.
  • One of the following active accreditations obtained:
    • Licensed CPA in state of practice/primary office if eligible to sit for the CPA
    • If not CPA eligible:
      • Licensed Attorney
      • Enrolled Agent
      • Technology Certifications:
        • AWS Certified Solutions Architect
        • Certified in Risk and Information Systems Controls (CRISC)
        • Certified Information Systems Security Professional (CISSP)
        • Certified SAFe Advanced Scrum Master
        • Certified SAFe Agile Software Engineer
        • Certified SAFe Agilist
        • Certified SAFe Architect
        • Certified SAFe DevOps Practitioner
        • Certified SAFe Scrum Master
        • Certified Scrum Developer (CSD)
        • Certified Secure Software Lifecycle Professional (CSSLP)
        • Certified Secure Software Lifecycle Professional (CSSLP) - (ISC)2
        • Microsoft Azure

Preferred:

  • Experience with LLMs (Large Language Models) in solving real-world problems and building agentic AI applications.
  • Experience with agentic frameworks such as LangGraph.
  • Advanced prompt engineering knowledge for LLM optimization.
  • Exposure to multi-modal Gen AI models (text-image, text-audio, etc.).
  • Familiarity with Retrieval-Augmented Generation (RAG) pipelines and vector databases/hybrid search.
  • Experience with performance tuning, reusable library creation, and advanced troubleshooting.
  • Familiarity with modern front-end technologies (Angular), MongoDB, NPM, and Azure DevOps Build/Release configuration.
  • Knowledge on Angular, Mongo DB, NPM and Azure Devops Build/Release configuration.
  • Strong verbal and written communication skills; strong listening, interpersonal, and facilitation skills.
  • Self-starter with solid analytical and problem-solving skills.
  • Practical and pragmatic approach to balancing standardized processes with flexibility to meet project goals effectively.
  • Excellent organizational skills with the ability to self-manage, prioritize tasks, structure workload, and meet tight deadlines.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $128,025 to $261,625.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.


Education:Bachelor's DegreeEmployment Type:

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