Hybrid Visiting Professor of Artificial Intelligence

Devry University•Phoenix, AZ

11d•Hybrid

About The Position

DeVry University seeks primarily industry professionals to teach undergraduate and graduate students and share their knowledge and experience. Courses meet once or twice a week for eight weeks, blending face-to-face interaction with online discussions, assignments, and other technology. Faculty facilitate student learning in accordance with University requirements, develop syllabi and lesson plans, and apply teaching techniques to achieve course and program objectives. 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 the University’s needs and discretion. The professor develops and provides an approved syllabus, prepares and updates course materials, uses appropriate online technologies and course-related software, communicates effectively with students, and sets clear course expectations. The role includes designing assessments aligned with course objectives, grading consistently and fairly, and providing timely feedback. The professor is expected to integrate AI responsibly into teaching and learning and to recognize and address appropriate and inappropriate student use of AI tools.

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.
Applicants must upload unofficial graduate-level and above transcripts with their 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 subject matter 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.

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, contributing to ongoing industry awareness and innovation.
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, regularly revise, and update course materials.
Use appropriate online technologies and course-related software, including websites, email, and online discussions, to prepare and provide access to the course.
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 weight distribution 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 the responsible use of AI technologies into the classroom to enhance teaching and learning outcomes.
Recognize, evaluate, and address appropriate and inappropriate student use of AI tools in academic work.
Complete other duties as assigned.
Participate in the faculty training program and ongoing faculty development activities.