Full Time Adjunct Faculty, MS Applied Artificial Intelligence

5535

The MS-AAI program is one of the few graduate programs in the nation that emphasizes applied real-world artificial intelligence integrating technical depth with ethics moral responsibility and AI for social good. Candidates with experience across all areas of artificial intelligence and machine learning will be considered. Preference will be given to candidates with the ability to develop and teach courses in deep learning computer vision large language models (LLMs) and agentic AI systems. Applicants with strong industry experience applied research experience or prior teaching experience in higher education are especially encouraged to apply.

The University of San Diego an engaged and contemporary Catholic institution was founded by the Diocese of San Diego and the Society of the Sacred Heart in 1949. Governed by an independent board of trustees since 1972 USD remains committed to a liberal arts education grounded in the Catholic intellectual tradition and the pursuit of truth goodness and beauty. Inspired by this centuries old tradition of Catholic higher education the University welcomes people of all faith traditions and any or no religious background. The future success of USD relies on the contributions of those who seek to foster the development of engaged global citizens and an earnest confrontation of humanitys urgent challenges.

The Shiley-Marcos School of Engineering at the University of San Diego (USD) invites applications for a full-time adjunct faculty in the Master of Science in Applied Artificial Intelligence (MS-AAI) program with an appointment beginning in the Spring 2027 semester which begins on January 2 2027. This is an on-campus position requiring the selected candidate to reside in or relocate to the San Diego area. The MS-AAI program is delivered in accelerated 7-week course blocks and all instruction occurs in person at USD. USD is a designated Changemaker campus committed to academic excellence student success ethical responsibility and community engagement.

This is a full-time temporary benefit-based position with an anticipated end date of August 31 appointment is renewable at the discretion of the University and dependent upon performance and continued funding.

Duties and Responsibilities:

• Demonstrate a strong commitment to teaching excellence in an applied graduate program.
• Deliver engaging instruction in 7-week in-person course formats.
• Provide timely constructive feedback and meaningful engagement with graduate students.
• Integrate industry experience real-world case studies and emerging AI practices into the teaching curriculum.
• Mentor and advise graduate students on academic progress career planning and capstone project development.
• Uphold USDs Vision Mission and Core Values including academic excellence community ethical conduct and compassionate service.
• Maintain high standards of academic integrity and student performance.
• Collaborate with the Academic Program Director and Program Coordinator on course development and continuous improvement.

Participate in departmental and university service and marketing activities as appropriate.

Special Conditions of Employment:

Candidates must be authorized to work in the United States.

Minimum Qualifications:

• Masters degree or higher in Artificial Intelligence Computer Science Data Science Statistics Electrical and Computer Engineering or a closely related quantitative field.
• Demonstrated industry experience related to AI or applied research experience in artificial intelligence or machine learning.
• Strong foundations in machine learning principles probability statistics and linear algebra relevant to deep learning and large language models.
• Strong interpersonal collaborative and professional communication skills.
• Commitment to equity inclusion student engagement and inclusive teaching practices.

Preferred Qualifications:

• Prior university-level teaching experience ideally in in-person project-based or experiential learning environments.
• Industrial experience in AI engineering ML engineering deep learning generative AI LLM development computer vision or MLOps/model deployment.
• Proficiency in developing and deploying modern AI/ML systems. This includes expertise in core languages (e.g. Python) and frameworks such as PyTorch TensorFlow Scikit-learn LangChain AWS SageMaker and vector databases.
• Ability to integrate ethical frameworks responsible AI principles and real-world case studies into teaching.
• Experience mentoring graduate students or supervising capstone projects.
• Teaching responsibilities include lecturing designing assignments and projects grading providing feedback and supporting students academically and professionally.

Background check: Successful completion of a pre-employment background check and drug screen.

Degree Verification Requirement: Persons offered employment in this position will be required to provide official education transcripts for degree verification purposes.

$5859 - $7500/monthly; Excellent Benefits

The University of San Diego offers a very competitive benefits package including; medical dental vision a retirement contribution given to you by the University and access to on-campus Fitness Centers. Please visit the benefits section of our website to view all of the perks and benefits that USD has to offer.USD: Human Resources: Benefits

The salary range provided in this posting reflects what we reasonably expect to pay for this position. Actual compensation offered or earned is dependent on experience education and other factors including departmental budget.