Forward Deployment Engineer – Enterprise Knowledge Systems
Core
Design, develop, and deploy production-ready enterprise knowledge systems and AI architectures leveraging knowledge graphs, ontologies, and semantic technologies to power next-generation AI applications.
Role type
Senior IC Forward Deployment Engineer (Enterprise Knowledge Systems)
Builds
Scalable enterprise knowledge platforms, GraphRAG/Hybrid RAG architectures, and AI-native solutions for clients
Domain
Enterprise AI, Knowledge Graphs, Semantic Technologies, Graph Databases
Deliverable
production ML models | product features
Required skills
Knowledge graph engineering, Ontology design, Semantic modeling, Graph database architecture, GraphRAG/Hybrid RAG design, LLM integration, Vector search, CI/CD pipelines, Containerization
Preferred skills
Agentic RAG architecture, Digital twin implementation, Decision intelligence systems, Enterprise governance alignment
Technologies
RDF, OWL, SPARQL, Property graphs, Linked data, Knowledge graphs, Graph databases, LLMs, AI agents, Vector search engines
Responsibilities
Engage with customers to identify business challenges solvable via contextual AI; Assess enterprise knowledge assets and existing capabilities; Define roadmaps for AI-native transformation; Architect enterprise knowledge solutions using semantic layers and ontologies; Integrate knowledge platforms with AI agents and enterprise workflows; Evaluate emerging technologies and recommend appropriate engineering approaches.
Seniority
Senior, hands-on IC