Design AI knowledge retrieval with taxonomy and metadata expertise as an Information Scientist supporting Genesys Cloud AI. Improve findability for agents and users.
This Information Scientist role focuses on information architecture for effective knowledge retrieval. You will work across taxonomy design, metadata modelling, content structure, and search optimization. The work supports customer service agents, self-service users, and AI-powered solutions by making knowledge content accurately findable and retrievable.
Key Responsibilities:
- Analyze knowledge bases for structural, metadata, and searchability gaps
- 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
- Evaluate AI retrieval quality through proofs of concept
Requirements:
- 5+ years in information science, taxonomy, metadata, or enterprise search
- Experience designing enterprise or digital content taxonomies
- Practical search behavior and content findability analysis experience
- Experience preparing content for AI-powered search or virtual agents
- Eligibility to obtain and maintain Government of Canada security clearance
Apply information science, taxonomy design, and search optimization expertise to strengthen Genesys Cloud AI knowledge retrieval.
Information Scientist AI Knowledge Retrieval in Toronto employer: Maarut
At Maarut, we pride ourselves on being an exceptional employer in Ottawa, offering a dynamic work culture that fosters collaboration and innovation. Our commitment to employee growth is evident through mentorship opportunities and professional development programs tailored for actuarial leaders. With a focus on strategic impact and a supportive environment, we empower our team to make meaningful contributions while enjoying the unique advantages of working in Canada's vibrant capital.
