Knowledge Engineer

To support a data-driven initiative, the full-time Knowledge Engineer will evaluate and pilot semantic layers and retrieval systems, working remotely to ensure data is findable and usable by both people and AI agents. Key responsibilities Evaluate existing tools and platforms for semantic layers and knowledge graphs, delivering a working pilot with recommendations Onboard domains onto the adopted approach, expanding content coverage and creating playbooks for faster onboarding Collaborate with stakeholders to define and codify metrics, semantics, and AI rules for usability across teams Required qualifications 3-5 years of experience with SQL and Python, sufficient to work on a data science team 1-2 years of experience building with modern AI tooling and semantic layers, such as MetricFlow or Open Semantic Interchange Demonstrated experience in building knowledge graphs or retrieval systems Strong ability to work autonomously and make build-versus-adopt judgments Experience in driving platform adoption across multiple teams