Data Engineer (SMTS/LMTS) - Knowledge Graph & AI
Core
Building and scaling Salesforce's Enterprise Knowledge Graph platform to power AI-driven experiences, agentic applications, semantic search, and intelligent decision-making.
Role type
Senior/Lead Member of Technical Staff (SMTS/LMTS) Knowledge Graph & AI Engineer
Builds
Production-ready scalable knowledge graph components, semantic pipeline workflows, AI-powered frameworks, and developer tools.
Domain
Enterprise AI, Knowledge Graphs, Semantic Web, Distributed Systems
Deliverable
production ML models | infrastructure
Required skills
Python, graph databases (Neo4j, RDF/OWL, SPARQL), semantic routing, vector search, RAG architectures, cloud-native distributed systems (AWS/GCP/Azure), microservices, event-driven streaming (Kafka), ontology engineering, AI-assisted engineering tools (Claude, Cursor, MCP)
Preferred skills
Master's in CS/AI/Data Science, ontology validation (SHACL), Salesforce Data Cloud integration, low-latency optimization, enterprise-scale semantic routing, advanced ontology governance
Technologies
Neo4j, RDF, OWL, SPARQL, LangChain, Kafka, AWS, GCP, Azure, Python, MCP, Claude, Cursor, Windsurf
Responsibilities
Design and implement scalable knowledge graph components and semantic pipelines; develop graph data models and complex queries; build semantic routing frameworks; integrate AI-powered developer tools; own feature execution from concept to production; mentor engineers.
Seniority
Senior (SMTS) / Lead (LMTS), hands-on IC with mentorship responsibilities