Lead Trainer - Senior Full-Stack and AI Engineer (Azure, Databricks)

About the role

TechBiz Global is recruiting, on behalf of one of its clients, a Senior Full-Stack and AI Engineer to act as Lead Trainer for a 3-day hands-on programme in Abu Dhabi. The role combines designing and running technical labs with leading practical workshops on AI-driven software development, data engineering and Azure Databricks.

Key responsibilities

• Design, configure and manage cloud-based lab environments, including Azure Databricks workspaces, AI coding tools and development repositories.
• Develop hands-on exercises, starter repositories and training materials for the 3-day programme, and prepare access requirements and permissions before delivery.
• Lead workshops on AI-driven software development, agentic coding, CI/CD and deployment automation.
• Deliver hands-on training in data engineering: Spark, Delta Lake, ETL/ELT pipelines, lakehouse architecture and data governance.
• Demonstrate AI platform security, including LLM guardrails, model access control, prompt injection prevention and production monitoring.
• Run Azure Databricks labs and guide participants in integrating AI into full-stack applications with Python and TypeScript/JavaScript.
• Facilitate team-based capstone projects, perform live coding, troubleshoot issues and support participants at all levels.
• Collaborate with the AI instructor, provide lab materials and a post-training delivery report.

Required profile

• 5+ years of professional software engineering experience, including full-stack development with Python and TypeScript/JavaScript.
• Proven production experience with Azure Databricks and hands-on experience integrating LLM APIs and building production AI applications.
• Previous experience delivering technical workshops, bootcamps or corporate training programmes.
• Must be based in the UAE and available for 3 consecutive on-site days in Abu Dhabi plus about 3 days of remote preparation.
• No current or previous engagement with the end client.

Required skills

• Azure Databricks, Delta Lake, Spark, ETL/ELT pipelines and lakehouse architecture.
• CI/CD pipelines, Azure cloud services and deployment automation.
• Agentic AI coding tools such as Cursor, Claude Code or GitHub Copilot.
• LLM guardrails, prompt injection prevention and model evaluation.
• Nice to have: NVIDIA AI Enterprise, public-sector or regulated-sector training experience, and knowledge of UAE data protection requirements.