Dotnet Architect/Senior Lead Copilot/Generative-AI Focus

As a .NET Technical Architect specializing in Copilot & Generative AI-Focus, you will play a crucial role in leading the design and implementation of modern enterprise applications with a strategic focus on AI-assisted development tools such as GitHub Copilot and the integration of Generative AI models into business applications. Your expertise will shape AI-first engineering practices and lead .NET modernization initiatives. Key Responsibilities: - Architect and design scalable, secure, and high-performance .NET applications using .NET 6/7/8, C#, ASP.NET Core, and Azure services. - Drive the integration and effective use of GitHub Copilot and similar AI coding assistants to accelerate development velocity and code quality. - Guide teams in adopting LLM-based solutions (e.g., OpenAI, Azure OpenAI, Hugging Face) for software functionality augmentation. - Collaborate with product and innovation teams to embed Generative AI into customer-facing and internal tools. - Implement secure design patterns for AI-enabled features to ensure privacy, compliance, and responsible AI usage. - Lead PoCs and pilots for Copilot and Gen AI use cases, scaling successful initiatives across teams. - Coach developers and team leads in AI-assisted development methodologies, DevOps automation, and test-driven architecture. - Stay updated with AI trends, Copilot enhancements, .NET ecosystem updates, and recommend relevant adoption strategies. Required Skills and Qualifications: - Bachelor's or master's degree in computer science, engineering, or related field. - 10+ years of experience in .NET application architecture and development. - Strong knowledge of C#, .NET Core, ASP.NET Core, REST APIs, and Azure PaaS services. - Experience integrating or championing GitHub Copilot or similar productivity tools. - Hands-on experience with LLMs (OpenAI, Azure OpenAI, Google PaLM) and prompt engineering principles. - Proficiency in cloud-native design, microservices architecture, event-driven systems, and DevOps pipelines. - Familiarity with AI ethics, data privacy, and governance in enterprise environments. Preferred Qualifications: - Experience building Gen AI-powered features like smart assistants, content generation, or semantic search. - Familiarity with Lang Chain, Semantic Kernel, Vector Databases (e.g., Pinecone, FAISS), or RAG architectures. - Prior experience in Agile, Scrum, or Scaled Agile (SAFe) environments. - Microsoft Certified: Azure Solutions Architect Expert or equivalent certification. In summary, this role offers you the opportunity to shape the future of AI-augmented software development, work with cutting-edge technologies in both .NET and AI, and collaborate with visionary leaders and innovation-driven teams.,