Adjunct Faculty - Artificial Intelligence at Katy Campus
University of Houston · Houston, TX · 2 mo ago
EducationPart-time
Responsibilities
- Teach a Subset of Graduate-Level AI Courses
- Potential course assignments include, but are not limited to:
- Mathematical Foundations for AI
- Introduction to Artificial Intelligence
- Data Engineering for AI
- Responsible AI
- Machine Learning and Deep Learning
- AI Systems Engineering and Deployment
- Bridge the gap between academic theory and industrial engineering and application.
- Emphasize competencies essential for production deployment at scale, such as reliability, security, cost-aware engineering, and observability.
- Collaborate with the department to refine and update course materials to reflect trending topics like Generative AI, RAG (Retrieval-Augmented Generation), and Agentic AI.
- Mentor students in capstone projects and guide them in translating domain problems into practical AI solutions.
Qualifications
- A graduate degree in Computer Science, Artificial Intelligence, Data Science, or a closely related discipline, PhD preferred.
- A broad professional background is valued, though a distinct advantage will be given to candidates with practical experience designing, developing, and deploying AI solutions in real-world sectors (e.g., technology, healthcare, energy, finance).
- Demonstrated proficiency with modern AI tools and frameworks (e.g., PyTorch, TensorFlow), cloud platforms (AWS, Azure, GCP, or similar), and AI/ML-Ops workflows is a distinct advantage.
- Demonstrated ability to teach effectively. Teaching experience of in-person, online, or in blended learning environments is a distinct advantage.
- Experience in mentoring students is a distinct advantage.