Applied AI Engineering Instructor

Sizanid Staffing

About The Position

Our client, a growing educational and technology organization, is seeking an experienced Applied AI Engineering Instructor to teach and mentor students on practical artificial intelligence implementation, AI-powered solutions development, and real-world strategies for becoming successful Applied AI Engineers. This role is ideal for an experienced AI engineer or technology professional who is passionate about teaching and sharing hands-on industry knowledge with aspiring AI and software engineering professionals.

Requirements

Bachelor’s degree in Computer Science, Artificial Intelligence, Software Engineering, Information Technology, Data Science, or related field required.
Minimum of 4–5 years of practical experience in AI engineering, machine learning, AI automation, software development, or related technology fields.
Strong understanding of applied AI systems, AI integration, machine learning workflows, and intelligent automation solutions.
Experience working with AI frameworks, APIs, cloud technologies, automation tools, or AI-powered applications.
Proficiency in Python and familiarity with AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or similar technologies.
Knowledge of prompt engineering, AI workflows, and practical AI implementation strategies.
Excellent communication, presentation, and mentoring skills.
Ability to explain technical concepts clearly and engage students effectively.
Strong analytical, coding, and problem-solving abilities.
Must be legally authorized to work in the USA or Canada.

Nice To Haves

Experience delivering technical training, workshops, or mentoring programs.
Familiarity with Generative AI, NLP, LLMs, AI automation, or cloud AI platforms.
Experience building and deploying AI-powered solutions in commercial or operational environments.
Certifications in AI, cloud technologies, software engineering, or automation are an advantage.

Responsibilities

Deliver engaging training sessions on applied AI concepts, tools, and real-world implementation strategies.
Teach students how to build, integrate, and deploy AI-powered applications and intelligent systems.
Guide students on machine learning workflows, AI model integration, automation systems, APIs, and practical AI engineering techniques.
Share practical experiences, case studies, and real-world AI engineering project insights with students.
Teach students how to apply AI technologies to solve business, operational, and technical challenges.
Train students on prompt engineering, AI-assisted workflows, automation tools, and AI productivity solutions.
Develop instructional materials, coding exercises, presentations, and project-based learning activities.
Facilitate workshops, live demonstrations, and hands-on AI implementation sessions.
Mentor students on portfolio development, technical problem-solving, and AI career pathways.
Stay updated on advancements in AI, machine learning, Generative AI, automation technologies, and emerging industry trends.