Shape Genesys Cloud AI knowledge retrieval through taxonomy design and metadata modelling at Miratech, supporting enterprise content findability.
As an Information Scientist, you will improve information architecture for customer service agents, self-service users, and AI-powered solutions. The work covers knowledge-base analysis, content structure, search optimization, and retrieval quality. You will collaborate with the Senior PS Consultant and client content team to establish practical recommendations.
Key Responsibilities: Analyze knowledge-base structure, consistency, duplication, metadata, and searchability
Assess 100–200 pilot articles for quality, accuracy, currency, and tagging
Design taxonomies, controlled vocabularies, synonyms, and metadata models
Define content-structuring guidelines and search optimization requirements




Establish quality standards, lifecycle rules, reviews, and ownership guidelines
Requirements: Five-plus years in information science, taxonomy, metadata, architecture, or enterprise search
Experience designing taxonomies and metadata models for enterprise content
Experience analyzing search behavior and improving content findability
Experience preparing content for AI search, retrieval, or virtual agents
Eligibility to obtain and maintain Government of Canada security clearance
Apply information architecture, taxonomy design, and metadata modelling to improve accurate knowledge retrieval through Genesys Cloud AI.

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📌 Information Scientist Taxonomy Design (Alberta)
🏢 Miratech Group
📍 Alberta