Amazon Senior Knowledge Graph Engineer & Semantic 

Luxembourg, Luxembourg 

947167070

Key job responsibilitiesYou will architect innovative solutions that integrate knowledge graphs with advanced AI technologies, including AI text extraction and Large Language models (LLMs). In addition, you will contribute to longer term multi-functional programs involving multiple AI technologies.
As a Senior Knowledge Graph Engineer, you will:
- Lead the evolution of our knowledge graph and semantic data engineering capabilities, driving innovation in our graph-based architectures for 2025-2027 initiatives and beyond;
- Collaborate with business stakeholders to translate business requirements into graph-based solutions which ensure the decision-making needs of our customers are met;
- Design and implement scalable, high-performance knowledge pipelines (from data/information ingestion to storage, and retrieval) while ensuring reliability of our overall information architecture and data obtained from graph-based services;
- Lead the development and evolution of sophisticated ontologies and knowledge models
- Design and implement ontology mapping and alignment strategies to facilitate integration and interoperability across diverse systems as well as ensure consistent knowledge representation across RME;
- Explore new approaches to representing multi-modal data relationships, enabling efficient querying and reasoning over diverse data types;
- Establish best practices and standards for knowledge engineering processes, to elevate the maturity of RME’s data and information capabilities- Develop and implement rigorous testing processes to ensure accuracy, reliability and security of knowledge-graph powered services and applications;

- In-depth understanding of data and information architecture key components, tools, and frameworks
- Deep expertise in semantic technologies, modelling languages (RDF, OWL, etc..), and querying languages (Cypher, SPARQL and other GQLs);
- Strong background in graph databases, triple/quad stores; and a sound understanding of other databases (NoSQL/non-relational);
- Proven experience architecting and scaling enterprise-grade ontologies and knowledge graphs;
- Ability to communicate technical concepts to both technical and non-technical audiences
- Appetite for staying at the forefront of semantic web technologies and graph applications