General Assembly

General Assembly

Lead Instructor: Agentic AI Engineering

U.S · Mid · Part-time

Sponsorship not specified$12k-$16kDetected 77 days ago
PythonAzureAPI DevelopmentLLMsAgentic AILangGraphAI OrchestrationAccount ManagementCustomer SuccessMentoring

About the role

  • Since 2011, General Assembly has transformed tens of thousands of careers through pioneering, experiential education in today's most in-demand skills.
  • In addition to fostering career growth for individuals, GA helps employers cultivate top tech talent and spur innovation by transforming their teams through strategic learning.
  • More than 21,000 employees at elite companies worldwide have honed their digital fluency with our upskilling and reskilling initiatives.

Responsibilities

  • 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.
  • Office Hours & Feedback: Hold dedicated sessions to review student builds, ensuring their agentic systems are robust, scalable, and technically sound.
  • Guide students through hands-on exercises involving agent design patterns, multi-agent orchestration, and API integration.
  • Provide real-time troubleshooting and debugging support in Python as students build out their labs and capstone projects.
  • 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.
  • 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.

Requirements

  • 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.
  • Instructional Presence: Proven experience teaching technical topics or leading engineering teams.
  • 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.
  • Proven experience teaching technical topics or leading engineering teams.
  • 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.
  • 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.
  • 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.

Nice to have

  • AZ-900 and AI-900 are required
  • 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.
  • The Credentials: AZ-900 and AI-900 are required
  • 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.

Skills

  • The Credentials: AZ-900 and AI-900 are required; AI-102 is strongly preferred.
  • Note on Schedule: This is a 2-week, high-intensity engagement starting in mid-June.
  • Unless otherwise noted, remote positions can be performed from the following approved General Assembly operating countries.
  • United States of America (states of operation may vary), Canada (provinces of operation may vary), United Kingdom, Australia, and Singapore.
  • Our global professional community boasts 60,000 full- and part-time alumni - and counting.

Compensation

  • $11,500 - $15,500 (Estimated lump sum payment for one 60-hour program)

Company info

  • General Assembly
  • Client: Confidential - Customer Success Reskilling
  • Duration: 2 Weeks (Starting Mid-June)
  • Commitment: Roughly 30 hours per week

This listing is sourced directly from General Assembly's careers page and normalized into a canonical job model.