{"schemaVersion":"jobsearcher.job.v1","id":"c4b0deea7a0cd18fbbffb2e2","url":"https://jobsearcher.com/jobs/c4b0deea7a0cd18fbbffb2e2","canonicalUrl":"https://jobsearcher.com/jobs/c4b0deea7a0cd18fbbffb2e2","title":"Lead Instructor: Agentic AI Engineering","description":"Job Title: Lead Instructor: Agentic AI Engineering\nClient: Confidential – Customer Success Reskilling\n\nLocation: Remote (Must work West Coast / Pacific Time hours)\n\nDuration: 2 Weeks (Starting Mid-June)\n\nCommitment: Roughly 30 hours per week\n\nCompensation: $15,500 flat fee for the project\n\nAbout the Engagement\nGeneral 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, mastering 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.\n\nWhat You’ll Do\n\nLead 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.\n\nFacilitate Complex Labs: Guide students through hands‑on exercises involving agent design patterns, multi‑agent orchestration, and API integration.\n\nCode Mentorship: Provide real‑time troubleshooting and debugging support in Python as students build out their labs and capstone projects.\n\nTranslate Architecture: Break down complex systems‑thinking and architecture concepts—such as memory management and planning in LLMs—into actionable steps for non‑engineering professionals.\n\nOffice Hours & Feedback: Hold dedicated sessions to review student builds, ensuring their agentic systems are robust, scalable, and technically sound.\n\nWhat You Bring\n\nThe 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.\n\nThe 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).\n\nCore 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).\n\nInstructional 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.\n\nThe Credentials: AZ-900 and AI-900 are required; AI-102 is strongly preferred.\n\nPreferred Background: Experience as an AI Engineer or Azure Solution Architect at Microsoft, Google, or a similar Tier‑1 tech firm is a major plus.\n\nNote on Schedule\nThis is a 2‑week, high‑intensity engagement starting in mid‑June. The instructor must be available for 30 hours per week and must work during West Coast (Pacific Time) business hours to support the learner cohort.\n\nRemote positions can be performed from the following approved General Assembly operating countries: United States (states may vary), Canada (provinces may vary), United Kingdom, Australia, Singapore.\n\nEqual Opportunity Employer: As set forth in General Assembly’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.\n\n#J-18808-Ljbffr","company":"General Assembly","rawCompany":"general assembly","city":"Sacramento","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-10-29T03:51:01.540Z","occupations":[{"code":"25-3099.00","title":"Teachers and Instructors, All Other","slug":"teachers-and-instructors-all-other"},{"code":"13-1151.00","title":"Training and Development Specialists","slug":"training-and-development-specialists"},{"code":"25-1021.00","title":"Computer Science Teachers, Postsecondary","slug":"computer-science-teachers-postsecondary"}],"industries":[{"code":"611699","title":"All Other Miscellaneous Schools and Instruction","slug":"all-other-miscellaneous-schools-and-instruction"},{"code":"611430","title":"Professional and Management Development Training","slug":"professional-and-management-development-training"},{"code":"611420","title":"Computer Training","slug":"computer-training"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Lead Instructor: Agentic AI Engineering","description":"Job Title: Lead Instructor: Agentic AI Engineering\nClient: Confidential – Customer Success Reskilling\n\nLocation: Remote (Must work West Coast / Pacific Time hours)\n\nDuration: 2 Weeks (Starting Mid-June)\n\nCommitment: Roughly 30 hours per week\n\nCompensation: $15,500 flat fee for the project\n\nAbout the Engagement\nGeneral 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, mastering 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.\n\nWhat You’ll Do\n\nLead 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.\n\nFacilitate Complex Labs: Guide students through hands‑on exercises involving agent design patterns, multi‑agent orchestration, and API integration.\n\nCode Mentorship: Provide real‑time troubleshooting and debugging support in Python as students build out their labs and capstone projects.\n\nTranslate Architecture: Break down complex systems‑thinking and architecture concepts—such as memory management and planning in LLMs—into actionable steps for non‑engineering professionals.\n\nOffice Hours & Feedback: Hold dedicated sessions to review student builds, ensuring their agentic systems are robust, scalable, and technically sound.\n\nWhat You Bring\n\nThe 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.\n\nThe 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).\n\nCore 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).\n\nInstructional 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.\n\nThe Credentials: AZ-900 and AI-900 are required; AI-102 is strongly preferred.\n\nPreferred Background: Experience as an AI Engineer or Azure Solution Architect at Microsoft, Google, or a similar Tier‑1 tech firm is a major plus.\n\nNote on Schedule\nThis is a 2‑week, high‑intensity engagement starting in mid‑June. The instructor must be available for 30 hours per week and must work during West Coast (Pacific Time) business hours to support the learner cohort.\n\nRemote positions can be performed from the following approved General Assembly operating countries: United States (states may vary), Canada (provinces may vary), United Kingdom, Australia, Singapore.\n\nEqual Opportunity Employer: As set forth in General Assembly’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.\n\n#J-18808-Ljbffr","datePosted":"2026-10-29T03:51:01.540Z","dateModified":"2026-10-29T03:51:01.540Z","hiringOrganization":{"@type":"Organization","name":"General Assembly","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Sacramento","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"c4b0deea7a0cd18fbbffb2e2"},"url":"https://jobsearcher.com/jobs/c4b0deea7a0cd18fbbffb2e2"}}