Taxonomy design and metadata modelling define this full time Information Scientist role supporting knowledge retrieval in Genesys Cloud AI. Improve content findability for agents, users, and AI solutions.

Miratech seeks an Information Scientist focused on information architecture, taxonomy, metadata, and search optimization. You will assess knowledge content, analyze search behavior, and establish structures supporting keyword, semantic, and AI-powered retrieval. The work includes recommendations for a client content team.

Key Responsibilities:
Analyze knowledge bases for structural gaps, duplication, and searchability
Assess 100–200 pilot articles for quality and tagging
Analyze search logs, behavior, and zero-result queries
Design taxonomies, metadata models,



vocabularies, and tagging rules
Define content quality, lifecycle, review, and ownership guidelines

Requirements:
5+ years in information science, taxonomy, metadata, or search
Enterprise taxonomy and metadata model design experience
Experience improving findability and search optimization
Experience preparing content for AI-powered retrieval
Eligibility for Government of Canada security clearance

Apply information architecture, taxonomy, metadata, and search expertise to strengthen Genesys Cloud AI knowledge retrieval.

📌 Information Scientist Taxonomy Design Toronto
🏢 EnGlobe
📍 Toronto