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AI Software Systems and Engineering Faculty

  • Burnaby, BC
  • On-site
  • Posted Oct 12, 2026
  • 1 position

$89,400–$93,000 / year

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Employment type
Full-time
Experience level
Mid-level · 2+ years
Minimum education
Master’s degree
Apply by
Nov 1, 2026
Posting language
English
Working hours
40 hours per week
Seniority
Entry level

Job summary

Teach courses from the 100- through 400-level, with an initial focus on introductory course delivery and curriculum development for the proposed Applied Artificial Intelligence degree. Conduct scholarly and AI research, including collaboration with the Alexander Innovation Centre.

Job details

Position Overview Alexander College invites dynamic and well-qualified individuals to join us as faculty who will contribute to the development and delivery of a proposed Bachelor of Science in Applied Artificial Intelligence. This innovative degree will prepare students for professional practice across the full spectrum of applied artificial intelligence (AI). Graduates will possess the technical skills to design, evaluate, and deploy AI-driven solutions that include machine learning, natural language processing, computer vision, generative AI, robotics, and cloud computing. The program also fosters the intellectual and creative competencies necessary to use AI ethically and effectively in diverse sectors. Throughout the curriculum professional responsibilities are enhanced through emphasis on scholarly research, security and privacy, Indigenous perspectives, and equity. Department Mathematics and Science Employment Type Full-time Continuing Starting Salary Range $89,400–$93,000 Term Spring 2026 LOCATION: Burnaby and Vancouver Campus Schedule Classes will eventually be scheduled Monday through Saturday, with allowance for two consecutive days off per week. Who We Are Alexander College (AC) is a private post-secondary institution serving approximately 3,000 students per year. We offer excellence in higher education for international and domestic students through university transfer courses, degrees, and other programs to meet the needs of students and the community in an inclusive and supportive environment. Qualifications PhD in Computer Science, Software Engineering, Computer Engineering, or a closely related discipline. Alternatively, a Master’s with extensive industry/teaching experience may be considered). Demonstrated excellence in post-secondary teaching and course development. Proven ability to teach a range of systems-related and applied computing courses. Candidates with various combinations of the above qualifications may also be considered. All applications will be vetted to ensure compliance with DQAB definitions of “academically qualified faculty” or “experientially qualified faculty” (Ministry of Post-Secondary Education and Future Skills, September 2024, Quality Assessment Process and Criteria, Appendix 1, pp. 104-107). Additional Attributes And Abilities Excellent interpersonal skills. Knowledge of course learning outcomes an asset. Proficient with educational technology including databases and online learning environments including learning management systems. Excellent instructional capability. Able to maintain professionalism and cordiality when working with others. Proficient in all Microsoft Office programs and applications (Word, Excel, PowerPoint, SharePoint, Teams, etc.) Strong proficiency in spoken and written English. Duties And Responsibilities Prior to program start-up, the emphasis will be on 100- and 200-level course delivery, curriculum development, and AI research in collaboration with the Alexander Innovation Centre. After program start-up, This faculty position involves teaching 100- through 400-level courses (.66 FTE or approximately eight courses per year) combined with scholarly activity and research activity (.34 FTE). How to Apply If you are interested in the above position and you would like to apply, please e-mail your cover letter, CV and statement of teaching philosophy with the e-mail title being “[Your full-name]_Computer Science Faculty (AI Software Systems) 2026″ to hiring@alexandercollege.ca. Please note that applications without a cover letter will not be accepted. In your cover letter, be sure to tell us what you would bring to the team and why you’d be perfect for this role. Only shortlisted applicants will be contacted. No phone calls please. Alexander College values the diversity of its community and is committed to creating an inclusive and equitable learning and working environment. We welcome applications from all qualified candidates, including those from groups that have been historically underrepresented in post-secondary education, and we strongly encourage applications from Indigenous Peoples. Please note that Canadians and permanent residents will be given priority.

What you’ll do

Teach courses from the 100- through 400-level, with an initial focus on introductory course delivery and curriculum development for the proposed Applied Artificial Intelligence degree. Conduct scholarly and AI research, including collaboration with the Alexander Innovation Centre.

Requirements

A PhD in Computer Science, Software Engineering, Computer Engineering, or a closely related discipline is required; a master's degree with extensive industry or teaching experience may also be considered. Candidates should demonstrate post-secondary teaching and course-development excellence, the ability to teach systems-related and applied computing courses, strong instructional and interpersonal skills, and proficiency in educational technology and English.

Listed skills

  • Microsoft Office · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

  • Post-Secondary Teaching
  • Course Development
  • Curriculum Development
  • Applied Computing
  • Computer Science
  • Software Engineering
  • Computer Engineering
  • Artificial Intelligence
  • AI Research
  • Scholarly Research
  • Instructional Skills
  • Educational Technology
  • Database Proficiency
  • Learning Management Systems
  • Microsoft Office
  • Written and Spoken English

Job areas

  • Education
  • Technology
  • Software
  • Science & Research
  • Engineering

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