Shape taxonomy design and search optimization for Genesys Cloud AI as an Information Scientist improving knowledge retrieval for users and agents. This Information Scientist role focuses on information architecture, metadata modelling, and content structure. You will analyze knowledge content, search behavior, and retrieval quality. The work supports customer service agents, self-service users, and AI-powered solutions through practical standards and recommendations. Key Responsibilities:
Analyze knowledge bases for structural and metadata gaps Assess 100–200 pilot articles for quality and tagging Design taxonomies, vocabularies, synonyms, and metadata models Define content structure and search optimization requirements Evaluate AI retrieval quality during proofs of concept Requirements:
5+ years in information science or enterprise search Experience designing enterprise taxonomy and metadata models Experience analyzing search behavior and content findability Experience preparing content for AI-powered search Eligibility for Government of Canada security clearance Apply information architecture, taxonomy, metadata, and search expertise to improve Genesys Cloud AI knowledge retrieval outcomes.
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Information Scientist Taxonomy Architecture in Toronto employer: Great Connections
GAL AeroStaff Ltd. is an exceptional employer located in Mississauga, offering a dynamic work environment that fosters innovation and collaboration within the aerospace industry. With a strong commitment to employee well-being, we provide comprehensive benefits, including paid time off and insurance plans, ensuring our team members feel valued and supported. Our focus on professional growth and development allows employees to thrive in their careers while contributing to cutting-edge projects that enhance aviation safety and efficiency.
