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Company Overview

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Job Summary

The role focuses on architecting and designing scalable and secure .NET applications while driving innovations through AI-enhanced development methodologies. The candidate will collaborate with various teams to integrate advanced technology solutions, ensuring high performance and compliance with best practices.

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 language model-based solutions (e.g., OpenAI, Azure OpenAI, Hugging Face) to augment software functionality, such as chatbots, document summarization, and code generation.
• Collaborate with product and innovation teams to explore opportunities for embedding Generative AI into customer-facing and internal tools.
• Evaluate and implement secure design patterns for AI-enabled features, ensuring privacy, compliance, and responsible AI usage.
• Lead proof of concepts (PoCs) and pilots for Copilot and Generative 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 current with AI trends, Copilot enhancements, .NET ecosystem updates, and recommend relevant adoption strategies.

Qualifications

• Bachelor’s or master’s degree in computer science, engineering, or a 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 Platform as a Service (PaaS) services.
• Proven experience integrating or championing GitHub Copilot or similar developer productivity tools.
• Hands-on experience with language models (OpenAI, Azure OpenAI, Google PaLM, etc.) and prompt engineering principles.
• Solid grasp of cloud-native design, microservices architecture, event-driven systems, and DevOps pipelines.
• Familiarity with AI ethics, data privacy, and governance in enterprise environments.

Preferred Skills

• Experience building Generative AI-powered features like smart assistants, content generation, or semantic search.
• Familiarity with Lang Chain, Semantic Kernel, Vector Databases (e.g., Pinecone, FAISS), or Retrieval-Augmented Generation (RAG) architectures.
• Prior experience in Agile, Scrum, or Scaled Agile (SAFe) environments.
• Microsoft Certified: Azure Solutions Architect Expert or equivalent certification.

Experience

• 10+ years of relevant experience in .NET application architecture and development.

Environment

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Salary

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Growth Opportunities

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Benefits

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