Solution Architect – Azure / .NET

Must need .Net Solution Architect with AI and LLM experience

We are seeking an experienced Solution Architect with a strong background in Microsoft Azure and .NET technologies to lead the design and implementation of scalable, secure, and high-performance enterprise solutions. The ideal candidate will work closely with business stakeholders, engineering teams, and leadership to define architecture strategy, drive cloud adoption, and ensure successful delivery of complex technology initiatives.

Key Responsibilities

• Lead end-to-end architecture design for cloud-native and enterprise applications using Microsoft Azure and .NET technologies.
• Define solution architecture, technical roadmaps, and best practices aligned with business objectives.
• Design scalable, resilient, and secure distributed systems leveraging Azure PaaS, IaaS, and SaaS services.
• Collaborate with product owners, developers, DevOps, and infrastructure teams to ensure successful implementation.
• Provide technical leadership, mentorship, and architectural governance across multiple projects.
• Conduct architecture reviews, code reviews, and performance optimization initiatives.
• Design and implement microservices, APIs, event-driven architectures, and integration solutions.
• Ensure compliance with security, regulatory, and enterprise architecture standards.
• Support DevOps adoption including CI/CD pipelines, automation, and infrastructure as code.
• Evaluate emerging technologies and recommend improvements to existing architecture.

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 15 years of experience in software development with at least 5 years in an Architecture role.
• Strong hands-on experience with Microsoft Azure cloud platform.
• Deep expertise in .NET / .NET Core / C# / ASP.NET technologies.
• Experience integrating AI/LLMs into applications beyond basic AI tool usage.
• Design and optimize CosmosDB or document-based database models.
• Integrate LLM APIs (OpenAI, Azure OpenAI, etc.) into applications including prompt engineering, AI pipelines, and validation workflows.
• Build modern applications using Next.js (App Router, Server Components, Server Actions)
• Experience designing microservices architecture and RESTful APIs.

·      Actively leverage AI coding tools such as Copilot, Claude Code, or Cursor to accelerate development.

• Strong knowledge of cloud architecture patterns, distributed systems, and integration frameworks.
• Experience with Azure services such as:
• Azure App Services
• Azure Functions
• Azure Kubernetes Service (AKS)
• Azure Service Bus / Event Grid
• Azure SQL / Cosmos DB
• Azure API Management
• Azure DevOps