Role description
Job Summary
Seeking an experienced professional to design develop and optimize knowledge graphs semantic models and graph database systems to support advanced context retrieval and semantic layer architecture for LLM agents
Job Description Data Engg
Design and implement knowledge graphs and context graphs including entity resolution relationship modeling and graph traversal techniques Architect semantic layers that map business requirements to technical implementations define metrics and enforce governed access patterns Develop MCP Model Context Protocol servers to provide tooluse interfaces and context retrieval endpoints for large language model LLM agents Build semantic models through ontology design BCM capability mapping and domain schema modeling Engineer graph databases using platforms such as Amazon Neptune and Neo4j incorporating vector and graph hybrid retrieval methods and optimizing query performance
Roles and Responsibilities
Collaborate with crossfunctional teams to gather and analyze requirements for knowledge graph and semantic layer solutions Lead the design and development of scalable and efficient graph data architectures Implement and maintain MCP server components to enable seamless context access for AI agents Develop and refine ontologies and domain schemas to enhance semantic understanding Optimize graph database queries and retrieval strategies to improve system responsiveness and accuracy Ensure data governance and security compliance within semantic layers and graph databases Stay updated with emerging technologies in graph databases semantic modeling and AI context protocols to continuously improve system capabilities
