Visiting Professor, Artificial Intelligence

DeVry University

. Teach undergraduate and graduate students in artificial intelligence and related fields .

Posted 9/25/2026part-timePhoenix • Arizona • United StatesMid-LevelSenior💰 $1,500 - $2,700 per weekWebsite

Tech Stack

Tools & technologies

OraclePython

About the role

Key responsibilities & impact

Teach undergraduate and graduate students in artificial intelligence and related fields
Facilitate student learning by teaching courses and programs in accordance with DeVry University requirements
Develop course syllabi and lesson plans
Apply teaching techniques to achieve course and programmatic objectives
Organize, prepare, regularly revise, and update course materials
Use online technologies and course-related software, including websites, email, and online discussions
Model effective oral and written communication
Publish course objectives, assignment and examination dates, and evaluation weighting
Ensure exam content and level correspond to course objectives
Prepare and grade exams consistently and fairly
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
Complete other duties as assigned

Requirements

What you’ll need

A doctorate in Artificial Intelligence, Computer Science, Data Science, Information Systems, or a closely related field is required
At least 18 graduate credit hours in artificial intelligence, machine learning, data science, or a related computational discipline
Unofficial graduate-level and above transcripts must be uploaded 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
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
Effective communication skills and 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
Preferred: Industry certifications in Python programming, artificial intelligence, machine learning, or data science (e.g., PCEP or equivalent)
Preferred: AI practitioner or engineer certifications (e.g., CAIP, Oracle GenAI, or comparable industry-recognized credentials)
Preferred: Experience with AI development frameworks and tools, such as machine learning libraries, model deployment platforms, or generative AI systems
Preferred: Experience applying DevSecOps practices in AI or data-driven environments, including model lifecycle management and secure AI deployment
Preferred: Experience with programmatic or regional accreditation processes, including outcomes assessment and curriculum alignment
Preferred: Active membership or engagement in professional technology or AI-related organizations
Preferred: Experience integrating AI-assisted learning tools, immersive technologies, or intelligent tutoring systems into post-secondary instruction

Benefits

Comp & perks

Comprehensive faculty training program
Ongoing faculty development activities
Face-to-face interaction blended with technology for an enhanced learning environment