AI Copilot Engineer with Amazon Q

Job Title: GitHub Copilot Adoption Framework (GCAF) Collaborative Engineer Location: Remote with travel to India (6 weeks) I must meet everyone on video before I present them Here's a high-level break down of what I'm looking for... Generative AI & Tool Expertise, including MCP usage and Agentic Orchestration Expert-level knowledge of GitHub Copilot and Amazon Q features, including Copilot Chat agents and Amazon Q’s /dev command. Advanced prompt engineering skills for both platforms. Understanding of Copilot Enterprise and Amazon Q for Business, including RAG and internal codebase reasoning. Intermediate understanding of LLM fundamentals, AI ethics, and security practices. Strong problem-solving mindset and diagnostic skills. Passion for generative AI and developer enablement (Think DevRel). Recent experience in: Java, Python, and/or Visual Studio Code 6 openings. This is a unique position as it'll require hands-on coding in BOTH GitHub Copilot AND Amazon Q, previous mentorship/training experience (think: paired programming, or DevRel type work), and will very likely require international travel (India is confirmed as a primary location). These individuals will be supporting ~50 engineers, over 2-week sprints. for a total of 30 weeks. The rotation, work schedule, and travel plans are all up in the air, so we need to talk to contractors that'll be flexible. Based on the volume, and urgency to deliver. The client empowers businesses to redefine what's possible with modern technology and human expertise. They deliver exceptional experience cross Applications, Data & AI, DevOps, Security, and the Microsoft Azure platform enables organizations to accelerate innovation, enhance security, and optimize operational agility. As a Microsoft Partner with nine specializations, GitHub AI Partner of the Year, a member of the GitHub Advisory Board, and a member of the prestigious Microsoft Intelligent Security Association (MISA), the clienty expertly delivers cutting-edge, integrated solutions that deliver business value. We are seeking an AI-forward Software Engineer with expert-level knowledge of GitHub Copilot and Amazon Q features. With both hands-on experience, and mentoring capabilities, this individual will design and deliver structured hands-on developer sprints centered around AI. This contractor opportunity is likely to include international travel for an extended period of time (potentially 4-6 weeks). For more details, please review the description below. Key Responsibilities • Design and deliver structured, hands-on developer sprints focused on GitHub Copilot and Amazon Q. • Facilitate live coding sessions, demonstrations, and collaborative labs. • Mentor developers through real-world challenges, providing guidance on prompt engineering, debugging, and feature implementation. • Develop and maintain instructional materials, including curriculum, documentation, and best-practice guides. • Adapt instructional strategies based on participant feedback and learning progress. • Promote responsible AI usage, including security, ethics, and data privacy considerations. Required Skills & Proficiencies • Generative AI & Tool Expertise, including MCP usage and Agentic Orchestration • Expert-level knowledge of GitHub Copilot and Amazon Q features, including Copilot Chat agents and Amazon Q’s /dev command. • Advanced prompt engineering skills for both platforms. • Understanding of Copilot Enterprise and Amazon Q for Business, including RAG and internal codebase reasoning. • Intermediate understanding of LLM fundamentals, AI ethics, and security practices. • Strong problem-solving mindset and diagnostic skills. • Passion for generative AI and developer enablement. Instructional & Communication Skills • Advanced curriculum development and public speaking abilities. • Expert-level live coding and demonstration skills. • Strong mentoring and facilitation capabilities. • Intermediate technical writing skills for post-sprint resources. Technical & Development Skills • Advanced proficiency in at least one of Python, JavaScript/TypeScript, or Java. • Expert fluency with IDEs such as VS Code and JetBrains. • Deep understanding of GitHub Flow, Agile practices, and version control. • Intermediate knowledge of cloud and DevOps fundamentals (AWS, IaC, CI/CD). • Strong grasp of testing and debugging strategies. Preferred Qualifications: • Certifications in cloud platforms (e.g., AWS) or DevOps practices. • Contributions to open-source or developer communities. • Patience, empathy, and adaptability in instructional settings.