AI Readiness Librarian; LIB I​/II​/III; CLTA

Position: AI Readiness Librarian (LIB I/II/III; CLTA)
Job Title:

AI Readiness Librarian (LIB I/II/III; CLTA)

Date Posted:  05/27/2026

Closing Date:  06/26/2026

Req :  48316

Faculty/Division:  Library

Department:  Collection Development Dep

Campus:  St. George (Downtown Toronto)

The University of Toronto Libraries invites applications for a librarian for a one-year Contractually Limited Term appointment to execute the Libraries’ transition to an AI-enabled information and service environment.

Reporting to the Associate Chief Librarian, Collections and Associate Chief Librarian, Science Research & Information, the AI Readiness Librarian will integrate AI and ML across library collections and public services ensuring a holistic, strategic and action-oriented approach. This tri-campus role focuses on project and change management, with an emphasis on deployment, communication, cross-unit alignment, and advancing organizational readiness. The librarian will act as a central hub, connecting people, projects, and leadership to ensure AI efforts are coherent, visible, and aligned with the University of Toronto’s vision of an AI-ready institution.

Responsibilities:

Execute a coordinated, library-wide view of AI-related initiatives across the University of Toronto Libraries by aligning work already underway and identifying and mapping projects, participants, and priorities across all three campuses

Develop and implement coordination structures such as forums, shared tracking tools, and reporting processes to align efforts, track progress, and maintain an understanding of activities across teams, individuals, and library units

Serve as a central point of communication, facilitating information flow among project participants, library leadership, and institutional and stakeholders, including preparing briefings, updates and fielding information requests

Identify gaps, overlaps, and opportunities for alignment, and document recommendations to support the next steps in ongoing AI integration

Supervise student staff

Required Qualifications:

Master's degree in library, archival or information science from an accredited institution

Demonstrated commitment to the values of inclusivity, diversity, equity, anti-racism and accessibility

Demonstrated experience in project management, coordination, or implementation of complex initiatives

Motivation to act and be successful in building an AI-ready library

Strong communication skills, with the ability to convey complex concepts clearly and effectively

Proven ability to work collaboratively in a large, diverse, and organizationally complex environment

Strong organizational skills, with the ability to manage multiple priorities and meet deadlines

Demonstrated understanding of the role of technology in library services and how technological choices and policies impact diverse user communities; including familiarity with concepts such as digital accessibility, user privacy and information security

Demonstrated familiarity with AI, machine learning, or data-driven technologies

Preferred Qualifications:

Experience supporting organizational change management initiatives and familiarity with change management theories/frameworks

Basic proficiency in web technologies (e.g., HTML, CSS) and scripting languages (e.g., Python, SQL) for automating tasks or enhancing library services

Knowledge of training development, skills-building programs, or staff engagement strategies

Relevant supervisory experience

Salary and Terms of Appointment:
This is a one-year Contractually Limited Term Appointment. The expected salary range is $83,080 - $110,940, depending on experience and rank otiations beyond this range will be considered for exceptionally qualified candidates.

Benefits:
We offer generous benefits packages to all employees.

This search aligns with the University’s commitment to strategically and proactively promote diversity among our community members (Statement on Equity, Diversity & Excellence). Recognizing that Black, Indigenous, and other Racialized communities have experienced inequities that have developed historically and are ongoing, we strongly welcome and encourage candidates from those communities to apply.

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