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AI Academy Trainer

  • Source: LinkedIn
  • Xebia
  • Remote
  • United States
  • Full-Time
  • Mid level

Job Description

Who Are We?

Celebrating 25 years of excellence and innovation , Xebia stands as a global powerhouse of passionate technologists and pioneering craftsmen who thrive on shaping the future. With a legacy built on impact and transformation, we empower organizations at critical inflection points delivering cutting-edge technology solutions and game-changing consulting that truly move the needle.

Since our inception in 2001 as a specialized Java company, we’ve evolved into a dynamic, full service digital consulting leader. Today, with 4,500+ experts worldwide , we are united by a bold global ambition—continuously pushing boundaries and redefining what’s possible in technology and business.

We are organized in complementary chapters – teams with a tremendous amount of knowledge and experience within a particular field, such as Agile, DevOps, Data and AI, Cloud, Software Technology, Functional Programming and Low Code.

We help the world’s top 250 companies and category leaders overcome digital challenges, embrace innovation, adopt new technology, and implement new business models. In addition to high-quality consulting, we also provide offshoring and nearshoring services.

Role 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, 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.

Required Skills & Experience

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 hands-on experience in building AI/ML or GenAI-based solutions (industry, consulting, or project work).
  • Proven track record of delivering technical trainings 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 manag…

Skills

  • lms-academy
  • t3
  • LangChain
  • Github
  • gitHub-copilot
  • Gemini
  • claude-by-anthropic
  • openai
  • Python
  • PyTorch
  • Tensorflow
  • Scikit-learn
  • microsoft-azure
  • hugging-face
  • amazon-web-services
  • google-cloud-platform

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This listing is a publicly available opportunity curated by Try Club to help talent discover relevant roles. Try Club is an independent platform and is not affiliated with Xebia

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