Instructor (Continuous), Applied AI

Ready to start your next chapter with NAIT?

At NAIT, we’re passionate about building a team of talented, dedicated professionals who share our commitment to excellence and innovation. Your skills and experience can shape the future of education and make a real impact in our community.

If this opportunity feels like the right fit for you, we encourage you to apply and join us in creating a brighter future – together.

Important Application Deadline Notice

Applications must be submitted by 11:59pm MST on the day before the posting end date shown above, as Workday automatically closes postings at that time.

Internal NAIT Employees

Current NAIT employees are welcome to apply for this opportunity. To be considered, please submit your application through the NAIT Jobs Hub rather than the external career site.

About the Opportunity

This position will play a key role in the continued development of the Applied AI diploma program and the future development of IT degree programming at NAIT. In addition to instruction, the successful candidate will contribute advanced AI/ML expertise to curriculum and degree development, support pathways from Applied AI into future degree opportunities, engage in scholarly activity, and help strengthen connections between academic programming, industry, and NAIT's applied research capabilities.

The successful candidate for this role will be an energetic, empathetic, and student focused instructor with a demonstrated commitment to motivating learners and supporting academic achievement. They will bring strong communication, interpersonal, and organizational skills, along with the ability to translate their technical and industry expertise into effective post-secondary learning experiences. Proficiency with a variety of computer programs and systems, as well as the ability to work effectively both independently and collaboratively, is essential.

The successful candidate will also possess solid and relevant industry experience and will be committed to championing student success through academic excellence. Responsibilities include curriculum development and instructional delivery; assessment, evaluation, and maintenance of student progress and academic records; and active participation in student support services and program operational activities.

Key Responsibilities:

• Prepare and present learning outcomes and activities in a classroom, laboratory and industry setting
• Participate in curriculum development, program reviews and course reviews
• Contribute to the development of future IT degree programming, including program and curriculum design, learning outcomes, assessments, academic standards, and pathways that support laddering from Applied AI into future degree opportunities
• Facilitate the learning process by utilizing instructional strategies that ensure efficient and effective delivery of course materials
• Manage instructional delivery and set the tone and climate for a safe and effective learning environment
• Create assessment tools to evaluate the learning process and maintain progress records
• Provide ongoing coaching and tutoring for students to maximize student success and retention and respond to student issues
• Utilize appropriate educational technology for presentations, communications and program promotions
• Provide advanced subject-matter expertise in artificial intelligence and machine learning and integrate emerging technologies, contemporary industry practices, and developments in AI into curriculum and instruction.
• Engage in scholarly activity and contribute to stronger integration between academic programming and NAIT's applied research capabilities, including opportunities to collaborate with applied researchers and translate emerging knowledge into curriculum and student learning.
• Maintain professional and ethical relationships with students, colleagues and industry partners
• Utilize regular student feedback to identify and implement instructional improvement
• Improve the quality of instruction through professional development activities
• Contribute to program, school, and institutional initiatives as required
• Other duties as assigned

Skills & Abilities:

• Strong ability to collaborate as a team player, contributing positively as a member of an academic team
• Excellent interpersonal, presentation, verbal and written communication skills, with the ability to communicate effectively with students, academic colleagues, researchers and industry partners.
• Ability to manage competing priorities and support multiple tasks in a fast-paced academic environment.
• Strong organizational and time management skills, with the ability to meet deadlines and contribute to ongoing process improvement efforts.
• Advanced knowledge of artificial intelligence and machine learning, including contemporary AI technologies, tools, and practices.
• Ability to translate complex AI and computing concepts into effective, applied learning experiences for students.
• Strong curriculum development skills, including the ability to contribute to degree-level curriculum, learning outcomes, assessment, and credential pathways.
• Ability to connect emerging developments in AI, applied research, and industry practice to curriculum and teaching.
• Ability to contribute to scholarly activity and collaborate effectively with researchers, faculty, industry partners, and other stakeholders.
• Ability to incorporate responsible, ethical, and effective use of artificial intelligence into curriculum and professional practice.
• Commitment to continuous professional development and maintaining technical currency in a rapidly evolving discipline.

Qualifications:

• PhD in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Computer Engineering, Software Engineering, or a closely related computing discipline, from an accredited university, with demonstrated specialization in artificial intelligence and/or machine learning.
• Minimum 3 years of recent, directly relevant professional/industry experience in artificial intelligence or machine learning, including the design, development, deployment, evaluation, or implementation of AI/ML solutions. Five or more years is preferred.
• Demonstrated advanced expertise in one or more of the following: machine learning and deep learning; generative AI and large language models; AI application development; data science and predictive modelling; MLOps and AI deployment; responsible AI and model evaluation.
• Experience with curriculum development, program development, or post-secondary teaching is preferred. Experience contributing to degree-level programming is an asset.
• Experience with applied research, industry research partnerships, scholarly activity, or interdisciplinary AI projects is an asset.
• Experience working with industry partners and applying AI/ML technologies to real-world business, technology, or research problems is an asset.

Classification – Instructor

This position is covered by the NAIT Academic Staff Association (NASA) Collective Agreement.

Remuneration: Refer to salary range noted on this posting, plus a comprehensive benefits package. Will commensurate with education and experience. Note: starting salary for new instructor hires average mid-range based on education and experience.

Applicants with education credentials earned outside of Canada should have their credentials evaluated by a recognized agency in Canada - Foreign Credential Validation against Canadian Standards - Canada.ca.

NAIT is committed to a transparent, fair, and human-centered hiring experience. All candidates are assessed directly by our recruitment and hiring teams.

Please submit a resume and cover letter to be considered for this opportunity.

About NAIT

We are known as one of Alberta’s top employers. Being part of a community that makes a difference in the lives of students, staff, industry clients and partners, NAIT’s culture reflects our shared values of respect, collaboration, celebration, creativity, and accountability.

People are what make NAIT great, and we prioritize the employee experience. For eligible positions, we offer benefits and unique perks focusing on health and wellness, work-life balance, recognition, and professional and personal growth. In addition to excellent vacation time, eligible employees receive paid time off between Christmas and New Year’s.

NAIT supports a flexible work environment, enabling staff to request approval for on-campus, off-site, or hybrid work arrangements based on the nature of the role. Please note that remote positions require employees to reside within Canada.

NAIT is committed to fostering a safe environment that supports equity and cultivates inclusion through our Centre for Community and Belonging (CCB). We are a proud partner of the Canadian Centre for Diversity and Inclusion. While we encourage all qualified applicants to apply, only those being considered will be contacted. If you require any assistance or accommodations please connect with us at careers@nait.ca.

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