Professional in Residence for Applied Artificial Intelligence

Smithfield

Saturday, 21 March 2026

Bryant University seeks to fill three (3) full-time, Professional-in-Residence positions in Applied Artificial Intelligence. These positions are part of a strategic cluster hire to continue the expansion of our Applied AI curriculum, as well as the build-out of the Center for Applied AI. The successful candidate will demonstrate a strong commitment to teaching excellence and will play a central role in delivering undergraduate instruction in artificial intelligence. Should you wish to discuss this opening or request more information please contact Dr. Todd Alesandri, Dean of the College of Business. Bryant’s comprehensive and intentional approach to integration of AI can be found at Bryant is recognized as a top 1 percent national leader in student education outcomes and ROI and regularly receives high rankings from U.S. News and World Report, QS Stars, Money, Bloomberg Businessweek, Wall Street Journal, and College Factual. Bryant’s strategic plan, Vision 2030, redefines higher education through a commitment to providing students with a transformational learning experience. Vision 2030 accelerates advancements in academic innovation, experiential learning, vibrant student life, Division I athletics, and a connected community that fosters belonging and success. Principal Accountabilities The standard teaching load for this position is 6 courses per year, accompanied with additional responsibilities related to the Center for Applied AI. Primary teaching responsibilities will include introductory and applied AI courses, but may also include selected upper-level electives in Artificial Intelligence, Generative AI, and emerging AI applications as program needs evolve. The position is intended for individuals with professional experience and a strong applied orientation—someone who can translate AI concepts into accessible, hands-on learning experiences for primarily undergraduate students across business and related disciplines. Qualifications Required Qualifications: Master’s degree or higher in Artificial Intelligence, Data Science, Information Systems, Computer Science, Analytics, or a closely related field. Ability to design and teach hands-on AI and data analytics projects. Demonstrated experience in applying AI in at least one of several domains, such as accounting, finance, marketing, healthcare, insurance or media. Strong communication skills and the ability to explain technical concepts to non-technical audiences. Knowledge of responsible AI practices, including ethical considerations in AI deployment. Preferred Qualifications: Prior college-level teaching experience would be beneficial but not necessary. Professional or applied experience working with AI Application Development, AI tools, AI platforms, or AI-enabled workflows. Familiarity with generative AI technologies, prompt engineering, and AI applications in business or organizational settings. Bryant University provides an inclusive and welcoming educational and working environments for all members of its community. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual preference or orientation, gender identity or expression, national origin, age, ethnicity, disability, genetic information, protected veteran, or marital status. Working Environment Bryant University is a 163-year-old private institution that is accredited by AACSB-International and the New England Commission of Higher Education (NECHE). Bryant is a student-centered institution, dedicated to educating and inspiring students to discover their passion, become innovative leaders with character, and make a difference around the world. Our innovative academic programs are attuned to the needs of industry and society with a strong commitment to experiential learning. We have approximately 3,200 undergraduate students from 38 states and 42 countries. We also have approximately 400 full- and part-time graduate students. At Bryant University, we believe that our strength lies in the richness of our campus community and the unique perspectives that shape it. By connecting academic and social experiences, we create an environment where individuals feel valued, respected, and supported. Our commitment to fostering belonging and well-being ensures that everyone has the opportunity to thrive and contribute meaningfully. We encourage applications from those who appreciate the wide range of experiences and backgrounds that make our community exceptional. Discover more about how we cultivate a welcoming and collaborative campus culture that drives excellence. Physical Capacities Posting Detail Information Posting Number FAC 01633 Open Date 03/17/2026 Close Date Open Until Filled No

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