Visiting Professor – Artificial Intelligence, Online

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DeVry University

1001 - 5000 employees

📚 Education

👥 B2C

Education • B2C

DeVry University is a private, career-focused university offering online and on-campus undergraduate and graduate degree programs, certificates, and workforce solutions. Its curriculum emphasizes technology, business, and healthcare fields (including programs in cybersecurity, software development, information technology, accounting, healthcare administration, and medical billing & coding), with services for working adults such as employer tuition benefits, military and transfer student support, and career services. DeVry also includes the Keller Graduate School of Management and highlights hands-on, career-centered learning and student support.

📋 Description

• Teach courses and programs in accordance with DeVry University requirements • Facilitate student learning for undergraduate and graduate students • Develop course syllabi and lesson plans • Organize, prepare, revise, and update course materials • Use online technologies and course-related software, including websites, email, and online discussions • Model effective oral and written communication • Set course expectations, objectives, assignment and examination dates, and evaluation weighting • Ensure exams align with course terminal 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

• Doctorate in Artificial Intelligence, Computer Science, Data Science, Information Systems, or a closely related field required • At least 18 graduate credit hours in artificial intelligence, machine learning, data science, or a related computational discipline • Unofficial graduate-level transcripts must be uploaded with the application • Degree awarded by an institution accredited by an agency recognized by the U.S. Department of Education or the Council for Higher Education Accreditation, or equivalent international 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, including possible experience with 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 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 • Preferred: industry certifications in Python programming, artificial intelligence, machine learning, or data science • Preferred: AI practitioner or engineer certifications • Preferred: experience with AI development frameworks and tools • Preferred: experience applying DevSecOps practices in AI or data-driven environments • Preferred: experience with accreditation processes, 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 • Preferred: two to five years of post-secondary teaching experience

🏖️ Benefits

• Comprehensive faculty training program • Ongoing faculty development activities • Professional development in instructional technology, digital literacy, and responsible AI practices

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