Hybrid Visiting Professor of Artificial Intelligence

Hybrid Visiting Professor of Artificial Intelligence Job Description

Seeking experienced AI professionals to teach undergraduate and graduate courses in artificial intelligence. The position is hybrid, with courses meeting once or twice a week for an eight‑week session. Instruction blends face‑to‑face interaction with online discussions and assignments.

• Develop and provide students with an approved DeVry University syllabus that follows a template established by the local campus, and which includes the terminal course objectives.
• Organize, prepare, and regularly revise and update all course materials.
• Use appropriate technological options for online technologies and course‑related software, including websites, e‑mail, and online discussions for preparing the course and making it accessible to students.
• Model effective oral and written communications that engage students, provide clarity, and improve student learning.
• Set clear expectations for the course by publishing course terminal objectives, assignment/examination dates, and weighting the distribution of various evaluation categories.
• Ensure that the content and level of material included on exams correspond to the course terminal objectives.
• Demonstrate consistency and fairness in the preparation and grading of exams, and provide timely feedback to students.
• Embrace and integrate the responsible use of AI technologies in the classroom to enhance teaching and learning outcomes.
• Demonstrate the ability to recognize, evaluate, and address appropriate and inappropriate student use of AI tools in academic work.
• Complete other duties as assigned.

• A doctorate in artificial intelligence, computer science, data science, information systems, or a closely related field is required, with at least 18 graduate credit hours in artificial intelligence, machine learning, data science, or a related computational discipline.
• Degrees must be awarded by an institution accredited by an agency recognized by the U.S. Department of Education or the Council for Higher Education Accreditation, or by an international institution determined to hold equivalent accreditation.
• Three to five years of applied professional experience in artificial intelligence, machine learning, data science, intelligent systems, or related computational technologies.
• Demonstrated experience with AI‑enabled software development, which may include machine learning pipelines, generative AI tools, data modeling, or full‑stack application development integrating AI services.
• Two to five years of teaching experience at the post‑secondary level, preferably in artificial intelligence, data science, programming, or emerging technology disciplines.
• Industry‑recognized certifications or professional credentials relevant to artificial intelligence, machine learning, data science, or software development.
• Strong subject‑matter expertise in AI concepts and technologies, combined with effective communication skills and the ability to explain complex technical topics to diverse learners.
• Knowledge of ethical, responsible, and secure AI practices, including awareness of data governance, bias mitigation, and responsible AI deployment.
• Additional requirements driven by state licensing, institutional policy, or accreditation standards may apply.

• Industry certifications in Python programming, artificial intelligence, machine learning, or data science (e.g., PCEP or equivalent).
• AI practitioner or engineer certifications (e.g., CAIP, Oracle GenAI, or comparable industry‑recognized credentials).
• Experience with AI development frameworks and tools, such as machine learning libraries, model deployment platforms, or generative AI systems.
• Experience applying Dev Sec Ops  practices in AI or data‑driven environments, including model lifecycle management and secure AI deployment.
• Experience with programmatic or regional accreditation processes, including outcomes assessment and curriculum alignment.
• Active membership or engagement in professional technology or AI‑related organizations, contributing to ongoing industry awareness and innovation.
• Experience integrating AI‑assisted learning tools, immersive technologies, or intelligent tutoring systems into post‑secondary instruction.

Pay is based on level, credit hours taught per 8‑week session, and location.

• Pay may vary in most states from $1,500 to $2,700 per 8‑week session.
• Pay in the states of Arizona, California, Indiana, and Pennsylvania is paid at an hourly rate of either $22.00/hour or $23.50/hour.

• 401(k) and Roth Plan
• Paid Tuition Program
• Remote and Flex Work Options
• Paid Sick Time