AI-Ready Taxonomy & Metadata Architect

Miratech Group; Toronto; On-site; CAD 90,000 - 130,000; Full time

Benefits offered by this job

Health insurance

Language courses

Relocation program

Job summary

Miratech Group is seeking a Library Scientist to design an AI-ready taxonomy and metadata model for a production knowledge base. The role focuses on content structure, tagging, and retrieval quality to support Genesys AI surfaces and self-service content.

The successful candidate will analyze large content sets, define governance, and collaborate with business SMEs to validate taxonomy against real queries. Eligible for Canadian security considerations and enterprise-scale projects.

Qualifications

• Master of Library and Information Science (MLIS/MISt) or an equivalent information science qualification.
• 5+ years applying information science in an enterprise or digital context: taxonomy design, metadata modelling, controlled vocabularies, information architecture, or enterprise search.
• Demonstrated experience designing and implementing a taxonomy and metadata model for a production content environment, with examples of the deliverables produced.
• Practical experience with enterprise search behaviour analysis — working with search logs, diagnosing zero-result and relevance failure, and tuning search configuration.
• Working knowledge of taxonomy and metadata standards and the ability to apply them pragmatically (SKOS, Dublin Core, ISO 25964, schema.org).
• Demonstrable understanding of how information architecture affects AI and natural-language retrieval quality — why structure, granularity, duplication and tagging determine what a knowledge-surfacing or virtual agent capability returns.
• Ability to conduct structured, scored content analysis at article level and report findings clearly to a non-specialist audience.
• Eligible to obtain and hold Government of Canada security clearance.

Responsibilities

• Analyse the current knowledge base content and structure.
• Conduct a Baseline Content Analysis of 100–200 pilot articles.
• Execute a Search Behaviour Analysis.
• Build the Taxonomy Blueprint, designed for AI retrieval.
• Structure content for machine consumption.
• Define the metadata and tagging model.
• Optimise searchability across both keyword and semantic retrieval.
• Establish content governance at the information level.
• Observe proofs of concept with a specialist eye.
• Transfer knowledge to the client's content team.

Skills

MLIS/MISt

Taxonomy design

Metadata modelling

Controlled vocabularies

Enterprise search

AI retrieval

Content analysis

Security clearance

Open standards

Education

MLIS/MISt or equivalent information science qualification

Tools

Genesys Cloud tooling

Job description

Miratech Group is seeking a Library Scientist to design an AI-ready taxonomy and metadata model for a production knowledge base. The role focuses on content structure, tagging, and retrieval quality to support Genesys AI surfaces and self-service content.

The successful candidate will analyze large content sets, define governance, and collaborate with business SMEs to validate taxonomy against real queries. Eligible for Canadian security considerations and enterprise-scale projects.