Lead AI Engineer

JOB SUMMARY The Lead AI Engineer will be a key driver in advancing developer productivity through Copilot-first workflows, Generative AI solutioning, and autonomous agent programming. This role is critical to the Developer Experience (DX) strategy by enabling modern, AI-augmented development practices across engineering teams. The individual will serve as a hands-on technical leader and evangelist for GitHub Copilot, Microsoft Copilot Studio, and other generative AI products, researching, evaluating, and operationalizing emerging AI capabilities to measurably improve how software is built and delivered. Success will be defined by adoption, efficiency gains, and scalable enablement. Key Responsibilities Drive adoption and advanced usage of GitHub Enterprise and GitHub Copilot, including Copilot Chat and autonomous agent based workflows. Identify high impact use cases across the SDLC (coding, testing, refactoring, documentation, CI/CD). Establish best practices, patterns, and guardrails for AI assisted development. Design and implement agentic AI solutions that automate and orchestrate developer workflows. Build and evaluate autonomous and semi autonomous agents for tasks such as code generation, validation, remediation, and workflow automation. Prototype and productionize emerging AI technologies with clear DX value. Build and extend copilots using Microsoft Copilot Studio to support engineering and operational use cases. Leverage Power Platform (Power Automate, Power Apps) to integrate AI capabilities into existing tools and workflows. Enable low code / pro code collaboration through reusable components and templates. Assess existing developer tooling and AI capabilities to identify gaps, redundancies, and opportunities. Define scalable architectures and reusable frameworks for AI development. Partner with security, platform, and architecture teams to ensure compliant and responsible AI usage. Act as a subject matter expert for Copilot platforms and Generative AI development tools. Mentor engineers and influence teams through guidance, demos, and hands on enablement. Contribute to roadmap planning for AI driven DX initiatives. Required Qualifications Strong software engineering background with hands on experience (Python, Java, C#, or similar). Practical experience building Generative AI solutions in production environments. Experience with GitHub Copilot and AI assisted development workflows. Familiarity with LLMs, prompt engineering, embeddings, and RAG patterns. Proven ability to evaluate and operationalize emerging technologies. Preferred Qualifications Experience with autonomous or agentic AI programming. Hands on experience with Microsoft Copilot Studio and Power Platform. Background in Developer Experience (DX), platform engineering, or productivity tooling. Experience working in large scale or regulated enterprise environments. Education: Bachelors Degree