We are seeking a Knowledge Engineer to support the development of MAV for structured ingestion, reasoning, and retrieval of complex mining and asset information. The successful candidate will design and implement end-to-end knowledge extraction and ingestion pipelines, transforming unstructured and semi-structured technical documents (PDFs, reports, drawings) into RDF-based knowledge graphs, and enabling graph-native retrieval and reasoning workflows (GraphRAG). This role sits at the intersection of knowledge engineering, AI-driven extraction (LLM + vision), ontology design, and graph analytics.

WSP is one of the world's leading professional services consulting firms. We are dedicated to our local communities and propelled by international brainpower. We are technical experts and strategic advisors including engineers, technicians, scientists, architects, planners, surveyors and environmental specialists, as well as other design, program and construction management professiona...