We are seeking an experienced corporate trainer to design and deliver a practical, hands-on Generative AI training program for enterprise employees onsite at our client's campus in Chennai or Hyderabad . The ideal candidate has deep expertise in utilizing multiple Large Language Models (LLMs), optimizing developer workflows via specialized environments (Claude Workspace/Anthropic API), and integrating OpenAI/GitHub Copilot into enterprise software development pipelines.
This role requires a practitioner who can translate complex AI capabilities into daily, measurable productivity gains for both technical developers and non-technical business units.
Core Responsibilities
- Deliver a structured, interactive onsite training program tailored to enterprise teams at client campuses in Chennai and Hyderabad.
- Teach developers how to configure and utilize the Claude Workspace setting for software development.
- Train engineering teams on maximizing OpenAI Codex/GitHub Copilot for legacy code refactoring, debugging, and code generation.
- Educate general business employees on daily productivity tools (automation, data synthesis, and administrative workflows).
- Lead live lab sessions, code-alongs, and hands-on troubleshooting exercises.
Required Qualifications
- Experience: 3+ years in technical training, instructional design, or developer relations, with a strong focus on AI tools.
- Technical Skills: Proficient with Anthropic’s ecosystem (Claude Workspace/API), OpenAI Codex/GitHub Copilot, and open-source/commercial LLM comparison frameworks.
- Enterprise Knowledge: Clear understanding of data privacy, prompt security, and enterprise deployment constraints.
- Location & Availability: Open to trainers based in Chennai or Hyderabad (local trainers will be prioritized). Must be available for onsite delivery at the client’s campus.
Commercials & Logistics
- Trainer Rates: Interested trainers are requested to submit their commercial proposal with per-hour training rates (INR) along with their profile.
- Travel & Logistics: Travel and accommodation expenses will be provided for travel between delivery locations if required.