Principal Engineer, Semantic Platforms and Graph Intelligence
Summary
Principal Engineer role building large-scale semantic platforms and graph intelligence systems at enterprise scale. Responsibilities include designing and implementing entity resolution, identity graphs, knowledge graphs, and graph-enhanced AI retrieval systems; building distributed graph ingestion pipelines and optimizing performance across storage, indexing, and query execution; developing GraphRAG architectures, graph neural networks, and reasoning systems for explainable AI; and mentoring senior engineers while influencing architecture strategy. Requires 12+ years software engineering experience, 8+ years designing enterprise-scale graph systems, and expert-level knowledge of graph technologies (property graphs, RDF/RDFS/OWL, ontology design, Cypher/SPARQL/Gremlin), graph platforms (Neo4j, JanusGraph, Neptune, TigerGraph, etc.), and AI/ML integration (RAG, graph embeddings, link prediction, knowledge-enhanced LLMs).