Assistant Professor Practice - Artificial Intelligence

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Important Immigration information:

A Presidential proclamation issued on September 19, 2025, imposes a $100,000 fee on new H-1B petitions filed after September 21, 2025. Please be advised that Texas A&M University will NOT pay this fee. Therefore, if you need immigration sponsorship for your employment, we recommend that you consult with your private immigration counsel at your own expense to ascertain whether your current immigration status would make a potential offer of employment from Texas A&M University subject to this fee.

In addition, on January 27, 2026, Texas Governor Abbot issued a moratorium on the filing of any new H-1B unless approved by the Texas Workforce Commission. Accordingly, if you will now or in the future require sponsorship for employment visa status this moratorium may affect our ability to employ you should you be selected as the final candidate

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The College of Engineering seeks an experienced Professor of Practice in Artificial Intelligence (AI) to lead the development and delivery of industry-relevant AI curriculum, microcredentialing programs, and applied workforce training for undergraduate and graduate engineering students. This is a 12-month, practice-focused faculty position emphasizing curriculum innovation, AI laboratory development, industry engagement, and hands-on teaching.

Please Note:
The salary is determined in accordance with the University’s compensation structure and will be commensurate with the candidates’ education and experience, within the assigned salary range for this position.

Responsibilities:

AI Curriculum Development & Instruction

• Design, develop, and deliver industry-relevant AI curricula for undergraduate and graduate engineering programs

• Develop applied courses in machine learning, deep learning, generative AI, data engineering, and AI for engineering applications

• Employ hands-on, project-based, and experiential learning methodologies

• Integrate real-world datasets, industry tools, and cloud-based AI platforms into coursework

Microcredentialing & Workforce Readiness

• Design and implement industry-aligned AI microcredentialing programs, badges, and certificates

• Ensure microcredentials align with workforce needs and employer expectations

• Collaborate with industry partners to co-develop curriculum and applied projects

• Support stackable credentials for students and working professionals

AI Laboratory Development & Management

• Lead the development, operation, and continuous modernization of an AI instructional laboratory

• Specify and manage AI-related hardware, software, and cloud infrastructure

• Establish lab policies, procedures, and instructional use guidelines

Industry Engagement & Partnerships

• Build and maintain partnerships with industry, government, and nonprofit organizations.

• Engage industry professionals in teaching, mentoring, and applied projects.

• Facilitate internships, capstone projects, and workforce pipelines.

Service & Program Development

• Contribute to program assessment, accreditation, and continuous improvement

• Support strategic initiatives related to AI and workforce development

• Mentor students pursuing applied AI careers

• Performs other duties as assigned

Required

Education & Experience:

• Master’s degree or Ph.D. in Engineering, Computer Science, AI, Data Science, or a related field

• Two years of Teaching or professional training experience

Required

Knowledge, Skills and Abilities:

• Significant industry experience applying AI technologies.

• Experience translating industry practices into academic curriculum.

• Strong communication and collaboration skills

Preferred Qualifications:

• Ph.D. in a relevant discipline.

• Experience developing microcredentials or professional training programs.

• Experience…