.Net Senior Solution Architect with Gen AI experience (Bellevue/Redmond WA) Full Time Job

Job Title: .NET Solution Architect with GenAI ExperienceLocation: [(Bellevue/Redmond WA) ] OnsiteDuration: [Full Time Job]  Job Summary:We are looking for an experienced .NET Architect with hands-on expertise in Generative AI (GenAI) technologies to design and develop scalable, intelligent, and modern enterprise applications. The ideal candidate should have a deep understanding of the Microsoft technology stack, cloud platforms (preferably Azure), and the ability to integrate AI/ML models, including large language models (LLMs), into enterprise systems.Key Responsibilities:Design and architect end-to-end enterprise applications using .NET Core / .NET 6 , C#, and Azure services.Develop and integrate GenAI-based solutions such as chatbots, copilots, document summarization, and natural language interfaces.Collaborate with cross-functional teams to translate business requirements into technical architecture and design.Optimize system performance, scalability, and reliability.Implement APIs, microservices, and cloud-native solutions using Azure App Services, Functions, and Kubernetes.Work closely with data scientists and AI engineers to integrate LLMs (OpenAI, Azure OpenAI, Hugging Face, etc.) into enterprise workflows.Ensure security, compliance, and governance in AI-integrated applications.Mentor and guide development teams on .NET best practices and AI integration patterns.Required Skills & Experience:10 years of experience in .NET / C# development and architecture.Strong experience with .NET Core, Entity Framework, Web API, RESTful services, and microservices architecture.Proven experience in designing and deploying cloud-native applications on Azure.Hands-on experience with Generative AI frameworks and LLM integration (e.g., Azure OpenAI, OpenAI API, LangChain, Semantic Kernel).Familiarity with prompt engineering, RAG (Retrieval Augmented Generation), and embedding-based search.Solid understanding of SQL / NoSQL databases, CI/CD pipelines, and DevOps practices.Excellent communication and leadership skills.Preferred Qualifications:Azure certifications (e.g., Azure Solutions Architect Expert, Azure AI Engineer Associate).Experience with Python or Node.js for AI model integration.Exposure to MLOps and data pipelines.Experience with Power Platform, Copilot Studio, or other AI-enablement tools.Education:Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.