Lead Instructor: Agentic AI Engineering

General Assembly

9h • Remote

About The Position

General Assembly is delivering an intensive reskilling program designed to transition experienced Customer Success and Account Management (CSAM) professionals into technical roles focused on Agentic AI Engineering. As the Lead Instructor, you will lead the charge in teaching students how to design and build sophisticated multi-agent systems. You will move beyond theory to help learners master tool use, memory, and long-horizon planning. This is a high-impact, 2-week "sprint" where you will be the primary technical guide for a cohort of professionals entering the world of autonomous AI orchestration.

Requirements

• 7+ years in software engineering, with at least 2+ years of hands-on experience building and deploying agentic AI systems in a production environment.
• Deep proficiency in Azure AI Foundry, Copilot Studio, and Semantic Kernel.
• Expert-level Python proficiency, API design, and advanced prompt engineering.
• Deep understanding of agent design patterns (tool use, planning, and orchestration).
• Proven experience teaching technical topics or leading engineering teams.
• Must be comfortable engaging a remote audience and managing a fast-paced learning environment.
• AZ-900 and AI-900 are required.
• Must be available for 30 hours per week.
• Must be able to work during West Coast (Pacific Time) business hours.

Nice To Haves

• Experience with LangChain or LangGraph is highly valued as an adjacent skill set.
• AI-102 is strongly preferred.
• Experience as an AI Engineer or Azure Solution Architect at Microsoft, Google, or a similar Tier-1 tech firm is a major plus.

Responsibilities

• Lead Live Technical Instruction: Deliver synchronous remote lectures and "build-along" sessions focused on designing agentic systems within Azure AI Foundry, Copilot Studio, and Semantic Kernel.
• Facilitate Complex Labs: Guide students through hands-on exercises involving agent design patterns, multi-agent orchestration, and API integration.
• Code Mentorship: Provide real-time troubleshooting and debugging support in Python as students build out their labs and capstone projects.
• Translate Architecture: Break down complex systems-thinking and architecture concepts—such as memory management and planning in LLMs—into actionable steps for non-engineering professionals.
• Office Hours & Feedback: Hold dedicated sessions to review student builds, ensuring their agentic systems are robust, scalable, and technically sound.

What This Job Offers

• Career Level: Senior
• Education Level: No Education Listed