Hybrid Visiting of Artificial Intelligence

Devry University•Newark, CA

20d•Hybrid

About The Position

DeVry University seeks industry professionals to teach and share their expertise with undergraduate and graduate students. Courses meet once or twice weekly for eight weeks and blend face-to-face interaction with technology, including online discussions and assignments. Faculty facilitate student learning in accordance with University requirements, develop syllabi and lesson plans, and use teaching techniques that support course and program objectives. Instructors participate in comprehensive faculty training and ongoing faculty development activities. The University does not guarantee a specific number of work hours or assignments; these may vary according to University needs and discretion. Faculty prepare and update course materials, use relevant online technologies and course-related software, communicate effectively with students, establish clear course expectations, and align assessments with course objectives. They provide fair grading and timely feedback, and integrate responsible AI use into teaching and learning. Faculty also help students understand appropriate and inappropriate use of AI tools in academic work and complete other assigned duties.

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 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.
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.
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, 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

Develop and provide students with an approved syllabus following 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 make the course accessible to students.
Model effective oral and written communication that engages students, provides clarity, and improves learning.
Publish course terminal objectives, assignment and examination dates, and the weighting of evaluation categories to set clear expectations.
Ensure exam content and difficulty correspond to course terminal objectives.
Prepare and grade exams consistently and fairly, and provide students with timely feedback.
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.
Participate in faculty training and ongoing faculty development activities.