Summary from listing
The AI Semantic Architect will design, build, and operate an enterprise semantic layer that unifies heterogeneous data into knowledge graphs, ontologies, semantic models, metadata, and retrieval systems. The role focuses on engineering reusable semantic services, GraphRAG architectures, MCP servers, agent tooling, and governance components that enable AI agents and knowledge-driven applications. It requires at least five years of software, backend, data-platform, or AI-platform engineering experience, strong Python and API skills, and hands-on experience with semantic web technologies and knowledge graphs.
