> Markdown version of [/jobs/ext/4165297-adjunct-faculty-developer-artificial-intelligence-for-business-solutions](https://www.wearedevelopers.com/jobs/ext/4165297-adjunct-faculty-developer-artificial-intelligence-for-business-solutions). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Adjunct Faculty/Developer- Artificial Intelligence for Business Solutions - **Company:** University of San Diego - **Location:** San Diego, CA, United States - **Experience:** Experienced - **Salary:** $83,200.0 - $91,520.0 - **Contract:** Temporary contract - **Skills:** Artificial Intelligence, Data Analysis, Big Data, Learning Management Systems, Data Structures, Python (Programming Language), Machine Learning, Deep Learning, Information Technology, Variational Autoencoders, Programming Languages - **Published:** October 25, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=851c1cf802e18580 ## About the Role Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related discipline. (Such as mathematics; with an emphasis on algorithms, data structures, and programming languages like Python.) Working knowledge of generative AI techniques, such as GANs and VAEs is a plus. A minimum of two (2) years of full-time professional experience in these areas is required., Prior experience in Machine Learning, Deep Learning, Data Science, Business Intelligence, Research Science, Big Data, Software Engineer, Data Analysis preferred. Experience with the Canvas learning management system is a plus. Posting Salary ## Description Teaching responsibilities include teaching, assessing student progress in meeting the learning objectives through formal and informal assessment, holding office hours, meeting required deadlines for submitting grades, attendance, and other information, as requested, and adhering to safety procedures and departmental standards. Development responsibilities include working with the Learning Design Team to create and develop the course in our learning management system while meeting agreed upon deliverable dates.