Program Design & Development:
•           Design and develop conceptual and advanced AI training programs, integrating adult learning theory, instructional design best practices, and experiential learning approaches.
•           Collaborate with subject matter experts to create course modules covering AI/ML foundations, supervised and unsupervised learning, NLP, deep learning, LLMs, reinforcement learning, and ethical/industry adoption considerations.
•           Develop instructional materials, datasets, coding notebooks, and learning artifacts that reinforce applied practice.
•           Research, evaluate, and integrate emerging training technologies (e.g., AI-enabled platforms, coding environments, simulation tools) to enhance learner engagement and program quality.

Program Delivery & Instruction:
•           Serve as lead instructor for AI/ML training modules, facilitating lectures, workshops, and applied coding sessions.
•           Guide participants through supervised and unsupervised learning exercises, NLP projects, deep learning models, and applied LLM case studies.
•           Deliver hands-on instruction using real-world datasets, ensuring participants achieve technical fluency and practical skills.
•           Support learners through direct coaching, mentoring, and feedback to reinforce mastery of program objectives.
•           Ensure alignment between curriculum design and training delivery for a consistent and high-quality learner experience.

Evaluation, Research, & Continuous Improvement:
•           Meet with stakeholders, employers, and industry leaders to assess workforce and educational needs in AI/ML and ensure training is responsive and relevant.
•           Evaluate training effectiveness and participant achievement of learning outcomes; implement refinements to maintain program rigor, scalability, and impact.
•           Maintain active knowledge of adult learning theory, instructional technology, and advances in AI education, ensuring the curriculum reflects cutting-edge developments.
•           Represent the program at professional organizations and conferences, positioning it as a leader in AI/ML workforce training.

Other:
•           Perform other duties as assigned.

Master’s degree or higher in business administration, computer science/engineering, data science, artificial intelligence, engineering education, or a related field is required; terminal degree preferred. A minimum of three years of relevant training or teaching experience is required.

Demonstrated expertise in AI/ML program design, curriculum development, and applied instructional delivery is strongly desirable.