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Chief Vector Database Architect

European Tech Recruit
Edinburgh
1 year ago
Applications closed

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Chief Vector Database Architect


European Tech Recruit are working closely with a multinational telecommunications company, based in Edinburgh, who are looking for a talentedChief Vector Database Architectto join their team.


In this role you will lead a cutting-edge vector database team. You’ll need to be an expert in areas like native indexing algorithms, document search, text vectorization, and the theory behind database system architecture.


Responsibilities asChief Vector Database Architect:

  • Spearhead innovation in vector databases, native indexing algorithms, document search, text vectorization, and AI data management technologies.
  • Drive strategic vision by analyzing industry trends, identifying short- and long-term goals, and evaluating application scenarios for vector databases.
  • Champion key technologies through collaboration, acquisition, or open-source initiatives in areas like native indexing, document search, text vectorization, and AI data management.
  • Lead and foster collaboration on global vector database projects.


Requirements:

  • Architect high-performance databases: Possess a deep understanding of database theory, system architecture, native indexing algorithms, and proficiency in at least one system-level programming language.
  • Pioneer innovative solutions: Demonstrate a proven ability to research, develop, and apply new concepts and methods for efficient data management, including document search, text vectorization, and AI data management technologies.
  • Champion effective communication: Contribute actively to team discussions, clearly articulating complex technical concepts and fostering collaboration.


Desirable Experience:

  • PhD degree in Computer Science or equivalent experience.
  • Publications in leading conferences and journals within the subject area.
  • Experience in leading technology and/or product success in database construction and natural language processing.
  • Familiarity with LangChain and vector databases such as Pinecone and Milvus is a plus.


If this role is of any interest please apply directly on LinkedIn or send a copy of your CV to .


By applying to this role you understand that we may collect your personal data and store and process it on our systems. For more information please see our Privacy Notice (https://eu-recruit.com/about-us/privacy-notice/).

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