Shape taxonomy design and metadata modelling for Genesys Cloud AI as an Information Scientist focused on accurate knowledge retrieval. Improve search for agents, users, and AI-powered solutions.

This Information Scientist role centers on information architecture for enterprise knowledge retrieval. You will assess content quality, analyze search behavior, design taxonomies, and define metadata models. The work also supports content structuring, search optimization, and AI retrieval evaluation.

Key Responsibilities:

- Analyze knowledge bases for structural, metadata, and searchability gaps
- Assess 100-200 pilot articles for quality and tagging
- Analyze search logs, user behavior, and zero-result queries
- Design taxonomies, controlled vocabularies, synonyms,



and tagging rules
- Evaluate AI retrieval quality during proofs of concept

Requirements:

- 5+ years in information science or related disciplines
- Experience designing enterprise taxonomies and metadata models
- Experience improving content findability and search optimization
- Experience preparing content for AI-powered search
- Eligibility for Government of Canada security clearance

Apply information architecture, taxonomy design, and search analysis to strengthen Genesys Cloud AI knowledge retrieval.

📌 Information Scientist Taxonomy Design (Toronto)
🏢 Artech
📍 Toronto