AI Data Intelligence & Knowledge Graph Engineer
Pure Storage · Santa Clara, California
About this role
**Everpure — AI Data Intelligence & Knowledge Graph Engineer** **Overview** Everpure (NYSE: P) is evolving from storage pioneer to a data platform company, accelerating growth into FY27. This role sits at the intersection of applied AI, machine learning, document intelligence, semantic modeling, and enterprise data management. **The Role** Lead a geographically distributed organization of AI/ML, NLP, knowledge graph, and data intelligence professionals across the United States and Prague. You’ll build and scale the team, set technical direction, and deliver production-grade capabilities that transform unstructured and structured enterprise data into accurate, contextual, governed, and AI-ready information. **What You’ll Do** - Lead and develop a geographically distributed team (US + Prague): hiring, onboarding, coaching, performance management, succession planning, and org design. - Define a clear strategy and roadmap for AI data intelligence, knowledge graph capabilities, document intelligence, and AI-ready data workflows. - Partner with Engineering, Product Management, Architecture, Security, Quality, Customer Success, and Go-to-Market to align priorities and deliver measurable outcomes. - Guide production system design/implementation for entity & relationship extraction, classification/enrichment, semantic context, and AI/agent/enterprise usability. - Provide technical direction across knowledge graph and semantic technologies (ontology/taxonomy, entity resolution, graph analytics, graph-based retrieval, GraphRAG patterns). - Oversee AI/ML approaches for document intelligence, NER, information retrieval, classification, embeddings, LLM-assisted workflows, and domain-specific extraction. - Create a disciplined model + data lifecycle: dataset generation, annotation, training, evaluation, deployment, monitoring, retraining, and governance. - Establish quality and reliability standards (precision/recall/F1, accuracy, retrieval effectiveness, false-positive/false-negative rates, drift, and customer-reported outcomes). - Ensure explainability, traceability, documentation, and responsible-use practices are built into systems from design through production. - Drive automation across data prep, training pipelines, regression testing, model evaluation, deployment, observability, and production issue resolution. - Translate enterprise needs into practical AI capabilities for regulated/data-intensive industries (financial services, healthcare, insurance, retail, government, technology). - Build operating rhythms across US + Prague (planning, technical reviews, architecture forums, talent reviews, incident learning, roadmap communication). - Recruit and retain exceptional talent across graph engineering, NLP/ML, data science, quality engineering, and applied research. - Represent the team with executive stakeholders and communicate complex technical concepts clearly to technical and non-technical audiences. - Promote a culture of intellectual rigor, customer focus, inclusion, accountability, and continuous learning. - **Location/Work model:** Primarily in-office. Expected to work from the Santa Clara office in compliance with Everpure policies unless on PTO, travel, or other approved leave. **What You Bring** - 10+ years of experience in AI, machine learning, NLP, data intelligence, knowledge graphs, or related technical fields. - 5+ years leading and developing engineering/applied science/data science teams (including managing senior contrib
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