Project Role : Application Lead
Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact.
Must have skills : .NET Architecture
Good to have skills : NA
Minimum 15 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary: We are seeking a highly experienced Senior .NET Architect who brings deep expertise in Microsoft technologies and has hands-on experience in AI/ML-based system design and implementation. The ideal candidate will drive the implementation of our AI architectural strategy aimed at infusing AI capabilities into our enterprise system. Roles & Responsibilities: .NET Architecture - Lead architecture, design, and implementation of scalable and secure enterprise applications using .NET Core/.NET 6+, C#, and related Microsoft technologies. - Define and enforce coding standards, architectural patterns (e.g., microservices, DDD, event-driven), and best practices. - Guide refactoring efforts and modernization of legacy systems to cloud-native architectures (Azure). - Collaborate closely with DevOps for CI/CD pipelines, containerization (Docker/Kubernetes), and deployment strategies. AI/ML Strategy & Integration - Collaborate with product teams to identify areas where AI/ML can be embedded (e.g., prediction models, NLP, recommendation engines, intelligent automation). - Architect and integrate AI models using tools like Azure Machine Learning, ML.NET, Semantic Kernel, or Open AI/LLM APIs. - Evaluate AI model performance, scalability, and ethical implications in production systems. - Lead Proof of Concepts (PoCs) on AI use cases, from ideation to deployment. Leadership & Collaboration - Serve as a technology thought leader and mentor to development teams. - Work cross-functionally with Product Management, Data Science, QA, and UI/UX to deliver end-to-end solutions. - Perform code reviews, architecture reviews, and security audits. Professional & Technical Skills: - Hands-on with Azure AI stack (e.g., Azure Cognitive Services, Azure OpenAI, Azure ML). - Experience with LLMs (e.g., GPT-4, LangChain), chatbots, or generative AI. - Understanding of data science workflow and MLOps. - Familiarity with frontend frameworks (e.g., Angular/React) for full-stack exposure. - Exposure to security standards (compliance). Additional Information: - Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. - 10+ years of experience in software development with at least 3+ years in an architectural or leadership role. - Expertise in .NET Core, C#, Web API, Entity Framework, and asynchronous programming. - Proven experience designing cloud-native applications on Azure (preferred) or AWS. - Strong exposure to AI/ML models, frameworks, and real-world deployment (e.g., ML.NET, TensorFlow, Azure Cognitive Services, OpenAI APIs). - Familiarity with REST, gRPC, GraphQL, and API security standards (OAuth2, JWT). - Experience in building scalable solutions using microservices, event-driven architecture (e.g., Kafka, Azure Event Grid), and CQRS.15 years full time education

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