Information Architect Taxonomy Specialist

Shape taxonomy design and metadata modelling for Genesys Cloud AI knowledge retrieval at Miratech. Improve how agents, users, and AI find content.As an Information Scientist, you will design information architecture for enterprise knowledge environments. The work covers taxonomy, metadata, content structure, and search optimization. You will translate analytical findings into practical recommendations supporting customer service agents, self-service users, and AI-powered solutions.Key Responsibilities:
Analyze knowledge bases for structural, metadata, and searchability gapsAssess 100-200 pilot articles for quality and tagging practicesDesign taxonomies, controlled vocabularies, synonyms, and metadata modelsDefine content structure and search optimization requirementsEvaluate AI retrieval quality during proofs of conceptRequirements:
5+ years in information science, taxonomy, metadata, or enterprise searchExperience designing enterprise content taxonomies and metadata modelsPractical experience analyzing search behavior and improving findabilityExperience preparing content for AI-powered search or virtual agentsEligibility to obtain and maintain Canadian Government security clearanceApply information architecture, taxonomy, and metadata expertise to strengthen Genesys Cloud AI knowledge retrieval with Miratech.
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