Library Scientist
Core
Builds the information architecture, taxonomy, and metadata models for Genesys Cloud AI to enable accurate knowledge surfacing and bot development.
Role type
Specialist Information Architect / Library Scientist
Builds
Taxonomy blueprints, metadata schemas, and structured content models for AI retrieval
Domain
Enterprise AI / Knowledge Management / Information Science
Deliverable
production ML models
Required skills
Taxonomy design, metadata modelling, enterprise search analysis, content governance, AI retrieval understanding, structured content analysis, information architecture, controlled vocabularies, search configuration tuning
Preferred skills
Genesys Cloud platform experience, RAG corpus preparation, AI answer-quality evaluation, KCS methodology, bilingual taxonomy management
Technologies
Genesys Cloud, SKOS, Dublin Core, ISO 25964, schema.org
Responsibilities
Analyse current knowledge base content and structure; Conduct baseline content analysis of pilot articles; Execute search behaviour analysis using logs; Build taxonomy blueprint designed for AI retrieval; Structure content for machine consumption; Define metadata and tagging model; Optimise searchability across keyword and semantic retrieval; Establish content governance standards; Validate technical feasibility of complex tagging structures with PoC; Transfer knowledge to client content team
Seniority
Senior, specialist IC