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Senior Security Specialist - Cloud (Global Security)
RBC
Toronto, ON
- Full-time
Work as part of the team assessing and improving the security of our public cloud environments (Amazon Web Services, Microsoft Azure, and Google Cloud Platform).
Added 1 hour ago
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Director Data Center Engineering
RBC
Toronto, ON
- Full-time
The role is for Global Data Center engineering lead managing a high performing team of senior engineers responsible for all the networking technology running in the RBC’s global data…
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Sr. Software Development Engineer / Principal, Software Development Engineer
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
As either a Senior Software Development Engineer or a Principal Software Development Engineer on the AI Model Serving team, you will be a technical leader who helps shape the vision and…
Added 2 hours ago
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Senior Associate, Institutional Sales
Clarity
Vancouver, BC
- $200,000 to $600,000 CAD / year
- Full-time
As a Senior Associate, Institutional Sales, you will play a critical role in driving Clarity’s growth by sourcing, developing, and expanding relationships with institutional investors and…
Added 2 hours ago
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Director, Strategic Partnerships
Clarity
Vancouver, BC
- $200,000 to $350,000 CAD / year
- Full-time
Clarity is redefining how private companies and their shareholders access liquidity. Through its institutional-grade platform, Clarity brings together buyers, sellers, and issuers to…
Added 2 hours ago
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Senior Analyst, Sales & Trading
Clarity
Vancouver, BC
- $110,000 to $190,000 CAD / year
- Full-time
As a Senior Analyst in Sales & Trading, you will be a key member of Clarity’s front-line team, working directly with individuals who are looking to buy or sell shares on our platform. In…
Added 3 hours ago
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Senior Java Engineer
EPAM Systems
Toronto, ON
- Full-time
Join a high-impact engineering team building the distributed systems that power corporate actions and investment data processing. You will design, own, and evolve production-grade Java…
Added 4 hours ago
Senior High Voltage Design Engineer, Substations
IREN
Vancouver, BC
…for AI training and inference. IREN's vertically integrated platform is underpinned by its expansive portfolio of grid-connected land and data centers in renewable-rich regions across the…
Added 7 hours ago
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Director, Value Creation Private Markets
OPTrust
Toronto, ON
- Full-time
…combines expertise in private markets, process transformation, data, analytics, and AI to improve investment decision-making, operational efficiency, and portfolio outcomes. Key…
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Senior Technology Manager, Loan Servicing Technology
BMO
Toronto, ON · FCP
- Full-time
Leverage data and operational insights to improve platform reliability, supportability, performance, and user experience.
Added 7 hours ago
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Senior Technology Manager
BMO
Toronto, ON · FCP
- Full-time
We are seeking a Senior Technology Manager to play a critical leadership role in advancing our technology modernization and cloud transformation agenda. This position is instrumental in…
Added 7 hours ago
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Principal Software Developer
Autodesk
Toronto, ON · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
…architecture, execution, and operational excellence of this platform. This is a senior individual contributor role for an engineer who has built and operated distributed systems in…
Added 7 hours ago
Senior HR Business Partner
Behavox
Montreal, QC
From managing enterprise risk and compliance to maximizing revenue and value, our data operating platform presents a widespread opportunity to build multilingual, AI/ML-based solutions that…
Added 7 hours ago
Senior HR Business Partner
Behavox
Toronto, ON
From managing enterprise risk and compliance to maximizing revenue and value, our data operating platform presents a widespread opportunity to build multilingual, AI/ML-based solutions that…
Added 7 hours ago
Senior Manager, Document Management Platforms (COR.TRANSFORM)
Symcor
Mississauga, ON
The Senior Manager, COR.TRANSFORM leads the team responsible for implementing, maintaining, and supporting Symcor’s Document Management platforms, ensuring solutions meet business,…
Added 7 hours ago
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Associate Director - U.S. Credit Risk Review
RBC
Toronto, ON
- Full-time
…Key stakeholders include 1st and 2nd line of defense bankers, senior leadership, regulators, and…
Added 7 hours ago
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Senior Manager, HR Digital Solutions Design
RBC
Toronto, ON
- Full-time
The Workday Solutions Senior Manager is the functional backbone and people leader for RBC's Workday platform, accountable for its Design integrity - configuration, integrations, data model,…
Added 7 hours ago
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Senior Systems Specialist, FP&A
Clio
Toronto, ON · Vancouver, BC · Calgary, AB
- Full-time
We are looking for a Senior Systems Specialist, FP&A to join our FP&A Systems team. This role is for someone who is passionate about building innovative solutions and being exposed to new…
Added 8 hours ago
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Production Operations Manager
BMO
Toronto, ON · SCC
- Full-time
The Senior Manager, Production Operations Transformation will lead the evolution of production support capabilities across CorpFinFCU and Engineering portfolios, driving the organization's…
Added 8 hours ago
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Senior Technical Lead
BMO
Toronto, ON · FCP
- Full-time
Analyze platform performance, adoption trends, and operational data to identify opportunities for optimization and continuous improvement.
Added 9 hours ago
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Building Maintenance Mechanic
Saputo Inc.
Mississauga, ON
- Full-time
The Power BI Developer is a business‑focused analytics role responsible for partnering closely with business teams to design, deliver and sustain insightful Power BI dashboards and reports.…
Added 9 hours ago
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Senior Internal Auditor
Twilio
Remote, Canada
- Full-time
- Remote
Join the team as Twilio’s next Senior Internal Auditor. At Twilio, we build the platform powering modern communications for millions of developers and global enterprises. Joining our…
Added 10 hours ago
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Learning & AI Enablement Associate (6-Month Contract)
ChangeMakers
Toronto, ON
- Contract
Facilitate workshops and present project updates to senior leaders and stakeholders
Added 10 hours ago
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Emerging Niche Sales- Retail, CPG and Manufacturing
Virtusa
Toronto, ON
- Full-time
…marketing, digital engineering, cloud development and migration, data/analytics, AI/ML, and more. This is a quota carrying, commissioned sales role, with emphasis on developing pipeline,…
Added 10 hours ago
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RQ11475 - Software Developer - CRM - Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Software Developer – CRM with strong hands-on experience in Microsoft Dynamics 365, Power Platform, Azure, and Dataverse, along with proven Technical Lead…

Miratech

Library Scientist

Toronto, ON, Canada

Full-time

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Job details

Job type: Full-time
Posting language: English
Posted: Oct 9, 2026

Original job description

Company Description

Miratech helps visionaries change the world. We are a global IT services and consulting company that brings together enterprise and start-up innovation. Today, we support digital transformation for some of the world's largest enterprises. By partnering with both large and small players, we stay at the leading edge of technology, remain nimble even as a global leader, and create technology that helps our clients further enhance their business. We are a values-driven organization, and our culture of Relentless Performance has enabled over 99% of Miratech's engagements to succeed by meeting or exceeding our scope, schedule, and/or budget objectives since our inception in 1989.

Miratech has coverage across 5 continents and operates in over 25 countries around the world. Miratech retains nearly 1000 full-time professionals, and our annual growth rate exceeds 25%.

Job Description

The Library Scientist builds the information architecture that Genesys Cloud AI runs on. The client has been explicit that taxonomy, searchability, and content structure are the critical prerequisites for AI knowledge surfacing in Genesys Cloud and for any later bot development. No amount of platform capability compensates for a knowledge base that is unstructured, inconsistently tagged, or unsearchable - the AI will retrieve from it either way, and the quality of what it returns is set here.

This is a specialist, deliverable-heavy role, and the most technically consequential of the three for AI outcomes. The successful candidate is a trained information professional who can analyse a real, messy, high-volume content set and produce a taxonomy and metadata model that holds up under production load and under machine retrieval.

Responsibilities:

Analyse the current knowledge base content and structure. Assess the existing content inventory - volume, format, ownership, age, duplication, structural consistency, and current tagging practice. Document the current state and the specific structural problems that are suppressing findability.
Conduct a Baseline Content Analysis of 100–200 pilot articles. Perform a detailed article-level assessment across the pilot set: accuracy, currency, readability, reading level, completeness, duplication, structural consistency, and tagging quality. Produce scored findings and a remediation profile that can be extrapolated to the full corpus.
Execute a Search Behaviour Analysis. Analyse actual search logs and agent and self-service search behaviour - query volume, top queries, zero-result and low-result queries, abandonment, refinement patterns, and the vocabulary gap between how users search and how content is written. Translate findings into concrete taxonomy and synonym requirements.
Build the Taxonomy Blueprint, designed for AI retrieval. Design the taxonomy - hierarchy, facets, controlled vocabularies, synonym rings, and the rules governing where content sits and how it relates. Design for the dual audience of internal agents and public self-service, and for the third consumer that will matter most in Phase 4: the Genesys AI layer that retrieves, summarises and answers from this corpus. Validate the structure with business line subject matter experts and test it against real queries.
Structure content for machine consumption. Specify how articles should be scoped, chunked and written so that Genesys AI knowledge surfacing and virtual agents retrieve the right passage rather than the right-ish document. Define article granularity, heading structure, answer-first writing patterns, and the disambiguation rules that prevent two near-identical articles from producing contradictory AI answers.
Define the metadata and tagging model. Specify the metadata schema - required and optional fields, value sets, inheritance rules, audience and jurisdiction markers, lifecycle and review-date fields, and the tagging conventions authors will follow. Define how metadata drives search relevance, filtering, and content targeting.
Optimise searchability across both keyword and semantic retrieval. Specify and test the search configuration - relevance tuning, synonym and acronym handling, stemming, boosting, and result presentation - and assess how the content performs under Genesys Cloud's natural-language and semantic search as distinct from literal keyword matching. Establish baseline search performance measures and the target improvement, and define the measures by which AI answer quality will be judged once knowledge surfacing is enabled.
Establish content governance at the information level. Define content standards, lifecycle and review cadence, ownership at the article and category level, and the quality criteria content must meet to be published. Work with the Senior Business Consultant so that the Governance Playbook and the taxonomy are a single coherent model rather than two parallel documents.
Observe proofs of concept with a specialist eye. Attend PoC sessions and test, specifically, whether Genesys Cloud can carry the complex tagging structures, faceted search, and multi-audience content model that will be built in Phase 4 - and whether its AI retrieval returns accurate, attributable answers from the pilot corpus. This is the single most important technical validation in the evaluation, and it is this role's responsibility to make the call.
Transfer knowledge to the client's content team. Document the model so that the client's own authors and content owners can apply it, and run the working sessions that build that capability.

Qualifications

Master of Library and Information Science (MLIS/MISt) or an equivalent information science qualification. This is a genuine requirement, not a preference - the role is named for the discipline.
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 a Government of Canada security clearance.

Nice to have:

Hands-on experience with the Genesys Cloud knowledge base and its authoring and optimisation tooling. Failing that, a comparable contact centre knowledge platform - Salesforce Knowledge, ServiceNow Knowledge Management, Zendesk Guide.
Direct experience preparing a content corpus for AI, retrieval-augmented generation, or virtual agent consumption - chunking, structure, grounding, and the relationship between content hygiene and model output quality.
Experience establishing AI answer-quality evaluation - measuring accuracy, attribution and failure modes of a retrieval-based assistant against a known content set.
Government, public sector, or academic library background, with familiarity with plain-language standards, WCAG accessibility requirements, and records management obligations.
Bilingual English/French, including experience managing a bilingual taxonomy and parallel content sets.
Experience with KCS (Knowledge-Centred Service) methodology.

Additional Information

Additional information

We offer:

Culture of Relentless Performance: join an unstoppable technology development team with a 99% project success rate and more than 30% year-over-year revenue growth.
Competitive Pay and Benefits: enjoy a comprehensive compensation and benefits package, including health insurance, language courses, and a relocation program.
Growth Mindset: reap the benefits of a range of professional development opportunities, including certification programs, mentorship and talent investment programs, internal mobility and internship opportunities.
Global Impact: collaborate on impactful projects for top global clients and shape the future of industries.
Welcoming Multicultural Environment: be a part of a dynamic, global team and thrive in an inclusive and supportive work environment with open communication and regular team-building company social events.
Social Sustainability Values: join our sustainable business practices focused on five pillars, including IT education, community empowerment, fair operating practices, environmental sustainability, and gender equality.

* Miratech is an equal opportunity employer and does not discriminate against any employee or applicant for employment on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected status under applicable law.

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More about this job

Responsibilities

The Library Scientist is responsible for designing the information architecture, taxonomy, and metadata models that power AI knowledge surfacing and virtual agents. They will analyze content inventories, search logs, and user behavior to ensure high-quality, machine-retrievable knowledge bases.

Requirements

Candidates must hold a Master of Library and Information Science (MLIS/MISt) or equivalent and possess at least 5 years of experience in information science and taxonomy design. Proficiency in metadata standards and the ability to obtain a Government of Canada security clearance are required.

Skills

Taxonomy design
Metadata modelling
Information architecture
Enterprise search
Content analysis
Search behaviour analysis
Knowledge management
AI knowledge surfacing
Controlled vocabularies
Semantic retrieval
Content governance
Data analysis
Technical documentation
Genesys Cloud
Natural language processing

Benefits

Health insurance
Language courses
Relocation program
Professional development opportunities
Mentorship programs
Talent investment programs
Internal mobility
Internship opportunities
Team-building events

Visa sponsorship

Not detected in the job text

Keywords

Taxonomy
Metadata
Information Architecture
AI
Genesys Cloud
Search Configuration
SKOS
Dublin Core
ISO 25964
Schema.org
Natural Language Processing
Knowledge-Centred Service
KCS
Content Governance
Semantic Search
Retrieval-Augmented Generation
WCAG
Records Management
Data Analysis
Information Science

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