The Wharton Generative AI Labs blends academic rigor with hands-on experience in educational technology to provide valuable insights into AI’s potential for enhancing how we teach, learn, and work. We create solutions that bring together pedagogical principles and technological innovation, and produce rigorous scientific research that advances our understanding of large language models through systematic testing and analysis. The Creative Technologist designs and builds AI-enabled tools, systems, and experiences that advance GAIL's mission to catalyze responsible and innovative uses of AI. Working within a fast-moving and highly creative team, the Creative Technologist treats generative AI as a creative medium, one that calls for judgment, craft, and original thinking, and turns that approach into working resources that faculty, students, and external audiences can use, learn from, and build on. The role combines creative and intellectual ambition with strong technical ability, including fluency with agentic coding tools such as Claude Code and Codex and the design and use of agents and multi-agentic systems. It is well suited to an entrepreneurial, self-motivated builder who is excited to create with AI, who sees new opportunities and acts on them, and who sustains their creativity and relevance as generative AI tools continue to advance. The ideal individual is entrepreneurial, self-directed, and thrives in a fast-moving environment. They are able to identify opportunities, define problems, establish direction, and move initiatives forward with confidence. They demonstrate creative ambition, bringing originality, sound judgment, and a high standard of quality to their work. This position reports to the Executive Director of GAIL and requires a minimum of two days on campus per week. This is a full-time, limited-term position that is contingent upon funding and continued business needs. The position is for up to two (2) years, with the possibility of extension, subject to review on business needs and continued funding. To apply, please submit (1) A cover letter, (2) a resume, and (3) a portfolio that provides examples of 1-3 projects done with generative AI. Please include a brief explanation of each project's goals, how it was built, and how any AI-related challenges were addressed. Prompt histories in PDF form and GitHub links are appreciated. Applicants who do not submit all three of the above requirments will not be considered.
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Job Type
Full-time
Career Level
Senior