Teaching and Learning AI Specialist

Job Description

Position Summary

This role requires a deep understanding of emerging AI technologies in education, a commitment to faculty support, and the ability to collaborate across departments and with external partners to enhance the universitys instructional practices and digital teaching ecosystem.

• Lead the implementation and support of AI-powered instructional technologies across CITL programs and broader university initiatives.
• Coordinate AI pilots, including Blackboard AI tools, AI Tutor, and other exploratory platforms, in close collaboration with IT and academic departments.
• Lead the design and delivery of CITLs AI Certification Program, including content development, assessment, and faculty onboarding.
• Serve as the primary technical lead and content curator for the AI Hub, ensuring it remains a dynamic, accessible, and evolving platform for faculty resources, best practices, and collaborative tools.
• Foster partnerships with edtech companies, AI developers, and industry stakeholders to integrate cutting-edge tools into the universitys digital learning ecosystem.
• Support faculty with the creation of AI-enhanced instructional materials, including recording and editing content.
• Develop and deliver training and workshops on ethical, responsible, and pedagogically sound uses of AI in education.
• Track user feedback, evaluate the effectiveness of AI and digital tools, and contribute to iterative improvement based on analytics and instructional outcomes.

• Minimum 35 years of experience in educational technology, instructional design, or faculty development, preferably in a higher education setting.
• Proven experience in integrating AI tools in teaching and learning environments.
• Experience leading or contributing to technology-enhanced teaching projects, digital content creation, or academic innovation initiatives.
• Demonstrated ability to deliver training, workshops, or consultations for faculty or academic staff.

• Strong understanding of AI applications in education, including ethical and pedagogical considerations.
• Ability to translate technical tools into practical teaching strategies for diverse academic disciplines.
• Excellent communication and collaboration skills, with experience working cross-functionally with faculty, IT, and administrative units.
• Strong project planning and time management skills, with the ability to meet deadlines and deliver under limited supervision.
• Skilled in instructional design, adult learning principles, and curriculum enhancement.
• Capable of facilitating training sessions and one-on-one consultations with professionalism and clarity.
• Demonstrated commitment to innovation, continuous learning, and reflective practice.

• Proficiency with learning management systems (preferably Blackboard), including AI-enhanced features (e.g., AI Design Assistant, automated feedback, grading tools).
• Experience with AI-based educational tools such as chatbots, intelligent tutoring systems, and learning analytics dashboards.
• Familiarity with video production tools and platforms (e.g., Jalinga, Panopto, Camtasia) for flipped and blended learning content.
• Competence in managing digital resource hubs or content management systems (e.g., SharePoint, WordPress, or similar platforms).
• Working knowledge of generative AI platforms (e.g., ChatGPT, Copilot, Claude) and their use in academic settings.
• Basic data analysis skills and ability to interpret metrics for improving tool adoption and instructional impact.

• Interested applicants should fill out the form.
• AUS alumni are encouraged to apply. Applicants who do not meet specified requirements will not be shortlisted. Only shortlisted candidates will be contacted.
• AUS is an equal opportunity employer. We adhere to a policy of making employment decisions without regard to race, color, age, gender, religion, national origin, disability or marital status. Opportunities for employment are based solely upon ones qualifications.