Chief Vector Database Architect

6 days ago

Edinburgh, Edinburgh, United Kingdom European Tech Recruit Full time
About the Role

We are seeking a highly skilled Chief Vector Database Architect to join our team at European Tech Recruit. As a key member of our organization, you will be responsible for leading the development of cutting-edge vector databases and driving innovation in native indexing algorithms, document search, text vectorization, and AI data management technologies.

Key Responsibilities
  • Spearhead Innovation: Develop and implement new concepts and methods for efficient data management, including document search, text vectorization, and AI data management technologies.
  • Drive Strategic Vision: Analyze industry trends, identify short- and long-term goals, and evaluate application scenarios for vector databases.
  • Champion Key Technologies: Collaborate, acquire, or open-source initiatives in areas like native indexing, document search, text vectorization, and AI data management.
  • Lead Global Projects: Foster collaboration on global vector database projects and lead teams to achieve strategic objectives.
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.
  • Champion Effective Communication: Contribute actively to team discussions, clearly articulating complex technical concepts and fostering collaboration.
Desirable Experience
  • PhD in Computer Science or Equivalent Experience: Possess a strong academic background in computer science or equivalent experience.
  • Publications in Leading Conferences and Journals: Demonstrate a track record of publishing research in leading conferences and journals within the subject area.
  • Experience in Leading Technology and/or Product Success: Proven experience in leading technology and/or product success in database construction and natural language processing.
  • Familiarity with LangChain and Vector Databases: Familiarity with LangChain and vector databases such as Pinecone and Milvus is a plus.

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