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AI Academy Lead/Trainer

North America · United States, US · 9 days ago

Back to jobs AI Academy Lead/Trainer United States Apply 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. Key Responsibilities Training Delivery (Primary Focus — 60–70%) 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. Curriculum & Content Development 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. Pre-Sales & Solutioning Support (20–30%) 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. Portfolio Enhancement & Innovation 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. Qualifications Professional Experience 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. Technical Expertise 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. Authorized Instructor for any cloud services provider will be an added advantage Training & Communication Skills 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-Have 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. Benefits Medical, Dental and Vision Insurance (Subsidized) Flexible Spending Accounts (Healthcare and Dependent Care) Short-Term and Long-Term Disability Life and AD&D Insurance Assistance Program Matched 401(k) Retirement Savings Plan Paid Time Off While the talent scarcity within IT is at an all-time high and still growing, Xebia sticks to the mission of “aiming for thought leadership”, thus working with the best professionals in the market. At Xebia, you will get the chance to work with passionate professionals within their field of expertise. We offer more than just a job, we offer a career. We are looking forward to working with you! Xebia is committed to creating an inclusive and diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Please feel free to share your preferred pronouns with us during the application process. All persons hired will be required to verify identity and eligibility to work in North America, and to complete any required employment eligibility forms. Create a Job Alert Interested in building your career at North America? Get future opportunities sent straight to your email. 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Headquarters

United States

Work Location

on-site

Job Category

Not specified

Application Deadline

Not specified

Job Type

full-time

Experience Level

lead

Application Method

Apply via JobSpring

Salary

Not specified

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