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.
- 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.
- The Expertise: 7+ years in software engineering, with at least 2+ years of hands-on experience building and deploying agentic AI systems in a production environment.
- The Tech Stack: Deep proficiency in Azure AI Foundry, Copilot Studio, and Semantic Kernel . (Experience with LangChain or LangGraph is highly valued as an adjacent skill set).
- Core Skills: Expert-level Python proficiency, API design, and advanced prompt engineering. You should have a deep understanding of agent design patterns (tool use, planning, and orchestration).
- Instructional Presence: Proven experience teaching technical topics or leading engineering teams. You must be comfortable engaging a remote audience and managing a fast-paced learning environment.
- The Credentials: AZ-900 and AI-900 are required; AI-102 is strongly preferred.
- Preferred Background: Experience as an AI Engineer or Azure Solution Architect at Microsoft, Google, or a similar Tier-1 tech firm is a major plus.
Note on Schedule: This is a 2-week, high-intensity engagement starting in mid-June. The instructor must be available for 30 hours per week and must be able to work during West Coast (Pacific Time) business hours to support the learner cohort.