Hybrid Visiting Professor of Artificial Intelligence

DeVry University•Phoenix, AZ

11d•$1,500 - $2,700•Hybrid

About The Position

DeVry University seeks industry professionals to teach undergraduate and graduate students and share their professional knowledge and experience. Faculty facilitate student learning in accordance with University requirements, develop course syllabi and lesson plans, and use teaching techniques that support course and program objectives. Courses meet once or twice a week for eight weeks, blending face-to-face interaction with technology such as online discussions and assignments. Instructors participate in comprehensive faculty training and ongoing faculty development. DeVry does not guarantee a specific number of work hours or assignments; these may vary according to University needs and discretion. The role embraces responsible use of AI technologies to improve teaching and learning, and requires the ability to recognize and address appropriate and inappropriate student use of AI tools. Visiting Professor compensation depends on level, credit hours taught per eight-week session, and location. In most states, pay may range from $1,500 to $2,700 per eight-week session. In Arizona, California, Indiana, and Pennsylvania, pay is hourly at either $22.00 or $23.50. Applications are accepted on an ongoing basis.

Requirements

Doctorate in Artificial Intelligence, Computer Science, Data Science, Information Systems, or a closely related field.
At least 18 graduate credit hours in artificial intelligence, machine learning, data science, or a related computational discipline.
Upload unofficial graduate-level and above transcripts with the application.
Degrees must be from an institution accredited by an agency recognized by the U.S. Department of Education or the Council for Higher Education Accreditation, or from 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, potentially including machine learning pipelines, generative AI tools, data modeling, or full-stack application development integrating AI services.
Two to five years of post-secondary teaching experience, 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 expertise in AI concepts and technologies, effective communication skills, and the ability to explain complex technical topics to diverse learners.
Knowledge of ethical, responsible, and secure AI practices, including data governance, bias mitigation, and responsible AI deployment.
Additional requirements driven by state licensing, institutional policy, or accreditation standards may apply.
Ability to perform the essential duties satisfactorily; reasonable accommodations may be made for individuals with disabilities.

Nice To Haves

Industry certifications in Python programming, artificial intelligence, machine learning, or data science, such as PCEP or equivalent.
AI practitioner or engineer certifications, such as CAIP, Oracle GenAI, or comparable industry-recognized credentials.
Experience with AI development frameworks and tools, including machine learning libraries, model deployment platforms, or generative AI systems.
Experience applying DevSecOps 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.
Experience integrating AI-assisted learning tools, immersive technologies, or intelligent tutoring systems into post-secondary instruction.

Responsibilities

Develop and provide students with an approved DeVry University syllabus using the local campus template and including terminal course objectives.
Organize, prepare, and regularly revise and update course materials.
Use appropriate online technologies and course-related software, including websites, email, and online discussions, to prepare courses and make them accessible to students.
Model effective oral and written communication that engages students, provides clarity, and improves learning.
Set clear course expectations by publishing terminal objectives, assignment and examination dates, and the weighting of evaluation categories.
Ensure examination content and difficulty correspond to course terminal objectives.
Prepare and grade examinations consistently and fairly, and provide timely feedback to students.
Integrate responsible AI technologies into classroom teaching and learning.
Recognize, evaluate, and address appropriate and inappropriate student use of AI tools in academic work.
Complete other duties as assigned.