As a Senior AI Developer Experience Engineer, you will: - Drive the adoption and effective usage of GitHub Copilot and AI-assisted development tools across engineering teams - Enable developers to leverage AI coding assistants to improve productivity, code quality, and software delivery efficiency - Provide hands-on technical guidance and support for GitHub Copilot usage in real-world development environments - Define and promote best practices for AI-assisted software development, secure coding, and responsible AI usage - Troubleshoot and resolve issues related to GitHub Copilot integrations, developer workflows, and engineering toolchains - Collaborate with software engineers, architects, DevOps teams, and platform teams to optimize AI-driven development practices - Support implementation and rollout of GitHub Copilot across enterprise development environments - Conduct workshops, demonstrations, and enablement sessions to improve developer adoption and maturity - Analyze adoption metrics, productivity improvements, and usage patterns to measure the impact of AI development tools - Ensure alignment of AI-assisted development practices with enterprise security, governance, and compliance standards - Contribute to continuous improvement of engineering processes through automation and AI-enabled solutions What You Bring to the Table: - 8–10 years of experience in software engineering, DevOps, platform engineering, or developer enablement roles - Strong hands-on development experience with programming languages such as Python, Java, .NET, or similar technologies (Python preferred) - Practical experience with GitHub Copilot or similar AI-assisted coding platforms - Strong understanding of GitHub ecosystem including repositories, pull requests, Git workflows, branching strategies, and code collaboration practices - Experience with Azure DevOps, CI/CD pipelines, automation, and modern DevOps practices - Strong knowledge of software engineering principles, clean coding standards, design patterns, and application development lifecycle - Experience debugging, troubleshooting, reviewing, and optimizing application code - Familiarity with Microsoft Azure cloud services and cloud-based development environments - Knowledge of APIs, microservices architecture, Kubernetes, and modern application delivery practices - Experience with AI/ML developer tools, automation frameworks, or developer productivity platforms is preferred - Understanding of security and compliance considerations when implementing AI-assisted coding solutions - Strong communication skills with the ability to work with developers, architects, leadership teams, and business stakeholders You Should Possess the Ability To: - Enable engineering teams to successfully adopt AI-assisted development practices - Translate GitHub Copilot capabilities into practical engineering improvements and business value - Guide teams on secure, efficient, and responsible usage of AI coding assistants - Mentor developers and promote modern software engineering practices - Identify opportunities to improve developer productivity through AI, automation, and DevOps improvements - Work independently while collaborating effectively with cross-functional teams - Influence technical teams and stakeholders to drive adoption of new engineering capabilities What We Bring to the Table: - Opportunity to lead enterprise AI-assisted development adoption initiatives - Exposure to GitHub Copilot, Azure, DevOps automation, and modern engineering practices - Opportunity to shape developer productivity and engineering transformation strategies - Collaborative environment with development, architecture, security, and platform teams - Work on innovative AI-driven initiatives focused on improving software delivery and engineering excellence Let’s Connect Want to discuss this opportunity in more detail? Feel free to reach out. Recruiter: Asha Krishnan Phone: +31 20 369 0609 ; Extn :146 Email: asha.k@stafide.nl LinkedIn: https://www.linkedin.com/in/asha-krishnan