Principal Knowledge Engineer

Join Salesforce as a Principal Knowledge Engineer, where you will lead the architectural direction for the Enterprise Knowledge Graph platform. This role involves defining the long-term vision, architecture, and execution strategy for knowledge graph platforms, semantic technologies, and AI-powered developer productivity solutions. You will collaborate with various teams to establish a scalable foundation that supports current and future AI use cases across the enterprise. Additionally, you will drive the strategy and productionization of AI-powered engineering tools and developer platforms.

• Definir y dirigir la visión técnica a largo plazo, la arquitectura y la hoja de ruta para la plataforma de Knowledge Graph de Salesforce.
• Liderar la arquitectura y el diseño de ecosistemas de Knowledge Graph, incluidos modelos de datos de grafos, ontologías, capas semánticas y marcos de resolución de entidades.
• Establecer estándares empresariales, modelos de gobernanza, patrones de ingeniería y mejores prácticas para el desarrollo, implementación y gestión del ciclo de vida de Knowledge Graph.
• The ideal candidate combines deep expertise in Knowledge Graph technologies with a proven track record of leading large-scale technical initiatives and successfully bringing AI-powered engineering solutions from concept to production
• Demonstrated success in building, scaling, and productionizing AI-powered developer tools, engineering platforms, or automation solutions using technologies such as Claude, Cursor, Windsurf, GitHub Copilot, AI agents, MCP frameworks, or similar ecosystems
• Proven experience defining and delivering enterprise-scale Knowledge Graph platforms supporting AI, semantic search, data integration, and agentic applications
• Proven track record of defining technical strategy and driving execution across multiple teams and organizations
• Strong understanding of distributed systems, APIs, microservices, event-driven architectures, and modern software engineering practices
• Proven experience leading the architecture and implementation of graph-powered AI solutions, semantic retrieval systems, vector search platforms, RAG architectures, and agentic workflows
• A related technical degree required
• Excellent communication, leadership, and stakeholder management skills
• Deep expertise in Knowledge Graph technologies, ontology engineering, semantic modeling, linked data, graph databases, and enterprise metadata management
• 12+ years of experience in software engineering, data engineering, distributed systems, enterprise data platforms, or related technical domains
• Strong hands-on experience with graph technologies such as Neo4j, TopQuadrant, RDF/OWL, SPARQL, property graph models, semantic reasoning frameworks, or similar technologies
• Strong experience designing enterprise data engineering architectures, including large-scale ingestion, transformation, orchestration, metadata management, and data governance frameworks
• Demonstrated ability to influence senior technical leaders, executives, architects, and cross-functional stakeholders
• Experience with cloud-native architectures and platforms including AWS, GCP, or Azure
• Master's degree or PhD in Computer Science, Artificial Intelligence, Data Science, Information Systems, or a related field
• Experience building enterprise Knowledge Graph platforms supporting large-scale AI and agentic ecosystems
• Experience with semantic routing, enterprise search, graph-powered recommendation systems, and intelligent retrieval architectures
• Experience with Salesforce Data Cloud, CRM platforms, metadata-driven architectures, or enterprise data platforms
• Experience with vector databases, Retrieval-Augmented Generation (RAG), AI agents, MCP frameworks, and emerging AI infrastructure technologies
• Experience leading enterprise-wide platform initiatives spanning multiple organizations and business domains
• Strong understanding of ontology governance, federated knowledge management, and enterprise semantic architecture
• Publications, patents, conference presentations, or recognized industry leadership in Knowledge Graphs, Semantic Technologies, AI Engineering, or related domains
• Demonstrated track record of driving measurable improvements in engineering productivity through AI-powered tooling and automation