AI Academy Lead/Trainer

North America

13d

About The Position

About Xebia Xebia is a Digital Consulting & Services firm that specializes in Digital Transformation, with over 6000 employees spread across 19 countries. Xebia explores and creates new frontiers in IT. We provide innovative products and services and strive to stay one step ahead of our customers’ needs. From digital strategy to technology implementation. As such, we are a one-stop shop for full-stack digital transformation. We provide innovative solutions and services to help your organization become a digital winner. Xebia Academy is a world-class training & education division of Xebia Group with over 1.1 million learners, 15+ Authorized training partnerships, and 200+ qualified trainers moving you forward. Xebia Academy has become a leading provider of professional certification & training solutions & maintains global training partner accreditation bodies such as Microsoft, AWS, Google, Cloudera, Scaled Agile, Scrum.Org, Scrum Alliance, Gitlab, Databricks, DevOps Institute, PMI, People Cert, DASA, UiPath & many others in the Digital Technology space worldwide. Technologists from across 100+ countries, including aspirants from the world’s leading Fortune 500 companies, are using Xebia’ s learning methodology to grow their careers. For more details, please visit www.xebia.com Overview We are seeking a highly skilled AI Trainer to deliver world-class training programs in Applied AI, Agentic AI, and Generative AI. The ideal candidate is a passionate educator with deep hands-on expertise in modern AI technologies, strong communication skills, and proven experience in corporate or professional training environments. This role will focus primarily on training delivery, content development, and supporting presales conversations for AI skilling programs across enterprise and academic clients.

Requirements

8–12 years total experience in AI/ML, software engineering, or data-related fields.
Minimum 4–6 years of experience as a corporate trainer, instructor, or technical educator.
2–3 years of hands-on experience in building AI/ML or GenAI-based solutions (industry, consulting, or project work).
Proven track record of delivering technical training to enterprise or university audiences.
Strong foundation in AI/ML concepts, LLMs, prompt engineering, and GenAI workflows.
Good understanding of Agentic AI, including building agents using frameworks like LangChain, GitHub Copilot, Gemini, Claude, OpenAI API, or similar tools.
Proficiency with: Python
AI/ML libraries (PyTorch, TensorFlow, Scikit-learn)
GenAI toolsets (OpenAI, Azure OpenAI, Hugging Face, vector databases, RAG pipelines)
Experience with at least one major cloud: Azure, AWS, or GCP.
Ability to build and demonstrate hands-on labs, notebooks, and real-world examples.
Exceptional presentation, communication, and facilitation skills.
Ability to explain technical concepts to audiences at different skill levels.
Comfortable managing large groups and interactive sessions.

Nice To Haves

Experience developing structured learning journeys or training paths for enterprises.
Certifications in AI/ML, cloud AI services, or instructional design.
Experience participating in RFPs for learning programs.
Authorized Instructor for any cloud services provider will be an added advantage

Responsibilities

Deliver high-quality, instructor-led trainings (virtual and in-person) on: Artificial Intelligence (AI)
Agentic AI
Generative AI
AI for Engineering, Development, and Data-related roles.
Foundational ML concepts
Conduct customized corporate workshops, hands-on bootcamps, hackathons, and upskilling sessions.
Ensure high learner satisfaction through engaging, practical, and real-world teaching methods.
Design and maintain training modules, labs, and assessments for AI, Agentic AI, and GenAI courses.
Translate complex technical concepts into learner-friendly material.
Continuously update content with the latest industry trends, tools, and best practices.
Contribute to building a scalable AI course catalog for enterprises and universities.
Work with sales teams to scope client AI training needs.
Provide thought leadership during client discussions and solutioning.
Help create proposals, training plans, and learning journey maps for enterprise clients.
Introduce new training formats, hands-on labs, case studies, and real-world project scenarios.
Collaborate with internal SMEs and academic partners for curriculum alignment.
Participate in Train-the-Trainer (T3) initiatives.