Hybrid Visiting of Artificial Intelligence

DeVry University•San Jose, CA

21d•Hybrid

About The Position

DeVry University seeks industry professionals to teach undergraduate and graduate students in artificial intelligence and related fields. The university aims to develop long-term relationships with instructors who have high professional standards, excellent communication skills, enthusiasm, and a commitment to practitioner-focused education. Courses meet once or twice a week for eight weeks, blending face-to-face interaction with technology such as online discussions and assignments. Faculty facilitate student learning in accordance with DeVry University requirements. They develop course syllabi and lesson plans, apply teaching techniques that support course and program objectives, and participate in comprehensive faculty training and ongoing development activities. The university does not guarantee a specific number of work hours or assignments; these may vary according to its needs and discretion.

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 transcripts with the application.
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.
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.
Commitment to ongoing professional development in instructional technology, digital literacy, and responsible AI practices.
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, such as 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.
Two to five years of post-secondary teaching experience, preferably in artificial intelligence, data science, programming, or emerging technology disciplines.

Responsibilities

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 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 weight distribution of evaluation categories.
Ensure examination content and level 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 in 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.