Agentic AI Engineering Instructor (Lead)

Jobgether • United State
Remote
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AI Summary

Lead immersive reskilling program for experienced professionals transitioning into Agentic AI Engineering roles. Teach hands-on system design and real-world application using modern AI platforms. Guide learners through complex concepts such as orchestration, memory, and planning in LLM-based systems.

Key Highlights
Lead live technical instruction and hands-on learning experiences
Deliver live remote instruction and build-along sessions on agentic AI systems
Guide learners through hands-on labs covering multi-agent orchestration, design patterns, and API integration
Key Responsibilities
Lead live technical instruction and hands-on learning experiences
Deliver live remote instruction and build-along sessions on agentic AI systems
Guide learners through hands-on labs covering multi-agent orchestration, design patterns, and API integration
Technical Skills Required
Python API development Advanced prompt engineering Azure AI Foundry Copilot Studio Semantic Kernel
Benefits & Perks
Fixed project compensation of $15,500 for the 2-week engagement
Fully remote work arrangement
Short-term, high-impact consulting opportunity

Job Description


This position is posted by Jobgether on behalf of a partner company. We are currently looking for an Agentic AI Engineering Instructor (Lead Instructor) in United States.

This is a high-intensity, short-term instructional engagement focused on shaping the next generation of AI practitioners. You will lead an immersive reskilling program designed to transition experienced professionals into Agentic AI Engineering roles, with a strong emphasis on hands-on system design and real-world application. The role blends deep technical expertise with live teaching, mentorship, and architectural guidance across modern AI platforms. You will help learners move beyond theory to build functional multi-agent systems using cutting-edge tools and frameworks. Operating in a fast-paced, remote-first learning environment aligned with Pacific Time hours, you will guide professionals through complex concepts such as orchestration, memory, and planning in LLM-based systems. This is a highly impactful role for an experienced engineer who enjoys teaching, mentoring, and translating advanced AI systems into practical understanding.

Accountabilities

You will lead live technical instruction and hands-on learning experiences focused on agentic AI system design, ensuring learners can successfully build, debug, and deploy multi-agent architectures. Your role combines teaching, mentoring, and real-time technical support across structured labs and projects.

  • Deliver live remote instruction and build-along sessions on agentic AI systems using tools such as Azure AI Foundry, Copilot Studio, and Semantic Kernel
  • Guide learners through hands-on labs covering multi-agent orchestration, design patterns, and API integration
  • Provide real-time Python coding support, debugging assistance, and technical troubleshooting during exercises and projects
  • Break down complex AI architecture concepts such as memory, planning, and tool use into practical, actionable steps
  • Host office hours and review sessions to evaluate and improve student-built systems for scalability and robustness
  • Support learners in translating systems design thinking into functional AI applications
  • Ensure technical accuracy and learning effectiveness across all instructional materials and exercises

Requirements

You bring deep hands-on experience in AI engineering combined with strong instructional or leadership capabilities. You are comfortable operating in fast-paced environments where you translate complex technical concepts into accessible learning experiences.

  • 7+ years of software engineering experience, with at least 2+ years building and deploying agentic AI systems in production
  • Strong proficiency in Python, API development, and advanced prompt engineering
  • Deep experience with Azure AI Foundry, Copilot Studio, and Semantic Kernel (LangChain/LangGraph experience is a plus)
  • Solid understanding of agentic AI design patterns, including planning, tool use, and orchestration
  • Experience in technical instruction, mentoring engineers, or leading engineering teams
  • Ability to communicate complex architecture concepts clearly to non-engineering audiences
  • Relevant certifications such as AZ-900 and AI-900 required; AI-102 strongly preferred
  • Experience from top-tier tech companies or AI-focused engineering roles is a strong advantage
  • Availability for intensive 30-hour/week engagement aligned with Pacific Time hours

Benefits

  • Fixed project compensation of $15,500 for the 2-week engagement
  • Fully remote work arrangement
  • Short-term, high-impact consulting opportunity
  • Exposure to cutting-edge agentic AI tooling and enterprise learning programs
  • Opportunity to shape the careers of professionals transitioning into AI engineering roles
  • Flexible engagement structure within defined program timeline
  • Work with a globally distributed learning and engineering community

How Jobgether Works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.


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