AI Initiatives Libraria - Librarian Asst. Professor/Librarian Assoc. Professor

University of Miami•Coral Gables, FL

About The Position

The AI Initiatives Librarian provides strategic leadership and cross-organizational coordination for the Libraries’ adoption, integration, assessment, and ethical stewardship of artificial intelligence technologies. In alignment with the Libraries’ mission, vision, and values and the Association of Research Libraries’ Guiding Principles for Artificial Intelligence, the position builds institutional capacity for innovation across library services, internal workflows, and collections. Reporting to the Associate Dean for Digital Strategies & Scholarly Communication, the librarian collaborates across library units and with campus partners to guide AI literacy, assess emerging tools, evaluate AI-related services and their user impact, and facilitate strategic AI adoption. The position coordinates library-wide AI projects and programming, supports researchers and students using AI in research workflows, and serves as a resource on the ethical, intellectual property, privacy, and accessibility implications of AI.

Requirements

ALA-accredited MLS or MLIS, or an advanced degree in data science, computer science, or a related data-intensive discipline.
At least 3 years of professional experience in an academic research library, higher education setting, or research organization.
Demonstrated experience applying or evaluating machine learning or generative AI tools in a research or educational context.
Familiarity with scripting languages such as Python or R and APIs used in data retrieval, analysis, or system integration.
Demonstrated experience leading technology initiatives and building collaborative cross-departmental partnerships without direct supervisory authority.
Ability to design, deliver, and assess engaging instructional programs for diverse audiences with varying technical backgrounds.
Strong understanding of ethical, privacy, copyright, and accessibility issues surrounding AI.
Excellent oral, written, and interpersonal communication skills.
Ability to work independently or as part of a team.

Nice To Haves

Experience developing institutional strategic plans or technology roadmaps.
Familiarity with qualitative and quantitative assessment methods and associated tools used in research libraries to evaluate user impact, effectiveness, and workflow integration of emerging technologies and services.
Demonstrated familiarity with the roles, services, and technologies that comprise a 21st-century research library.

Responsibilities

Design and coordinate implementation of a strategic roadmap for AI-based innovation across library operations and services.
Track, facilitate, and, when applicable, lead library-wide AI projects, establishing metrics and assessment measures to evaluate impact on workflows and user engagement.
Identify opportunities to enhance library workflows or services using AI technologies.
Evaluate emerging generative and agentic AI tools, natural language processing applications, and machine learning software, and recommend adoption strategies.
Represent the Libraries on committees, including the AI & Libraries Steering Group and the Libraries’-based UX Team.
Coordinate and expand AI literacy programming for students, faculty, and staff in partnership with library domain specialists.
Lead internal workforce AI readiness initiatives among library staff and faculty.
Provide specialized consultations for campus researchers and students using AI tools for literature reviews, data analysis, and research workflows.
Contribute support to interdisciplinary research teams through the Libraries’ Research Sprints program.
Partner with campus entities, including Academic Technologies, the Writing Center, the UMIT AI Team, and PETAL, on AI-based initiatives and programming.
Advise on ethical, intellectual property, data privacy, and accessibility implications of AI in research libraries and higher education.
Maintain awareness of trends in academic libraries, scholarly communication, and data-intensive research.
Contribute to professional organizations, scholarship, and service aligned with library and institutional expectations.