AI Academy Lead/Trainer jobs in United States
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Xebia · 1 month ago

AI Academy Lead/Trainer

Xebia is a Digital Consulting & Services firm specializing in Digital Transformation. They are seeking a highly skilled AI Trainer to deliver training programs in Applied AI, Agentic AI, and Generative AI, focusing on training delivery, content development, and supporting presales conversations for AI skilling programs.

AnalyticsBig DataCloud ComputingConsultingDevOpsGenerative AIInformation TechnologyRobotic Process Automation (RPA)Software
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H1B Sponsor Likelynote

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

Qualification

AI/ML expertiseGenerative AITraining deliveryCurriculum developmentPythonAI/ML librariesCloud servicesPresentation skillsCommunication skillsFacilitation skills

Required

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
Proficiency with AI/ML libraries (PyTorch, TensorFlow, Scikit-learn)
Proficiency with 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

Preferred

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

Company

Xebia is specialist op het gebied van Agile, Test Automation, Continuous Delivery, Architecture en Modern Software Development

H1B Sponsorship

Xebia has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (71)
2024 (24)
2023 (35)
2022 (23)
2021 (10)
2020 (9)

Funding

Current Stage
Late Stage

Leadership Team

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Tobias Wagner
Global Chief Financial Officer
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Keith Landis
Chief Marketing Officer
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Company data provided by crunchbase