Solution Architect - Azure

We are seeking an experienced Solution Architect - Azure with AI to lead the design and delivery of scalable, AI-driven solutions within the Azure ecosystem. The ideal candidate will bring deep technical expertise, strong leadership skills, and a passion for building innovative GenAI platforms that align with business goals and long-term architecture strategy. Responsibilities Provide end-to-end technical leadership from solution design to implementation, ensuring alignment with business goals and long-term architecture strategyCollaborate closely with Product Managers and stakeholders to refine user stories and translate business requirements into scalable AI-driven solutionsDesign and develop architecture blueprints, including system design, integration strategies, and solution components for GenAI platformsLead the development and deployment of RAG-based applications, AI automation solutions, and intelligent interfaces within the Azure ecosystemDefine and implement best practices for performance, scalability, security, and cost optimization across AI and cloud solutionsGuide and mentor engineering teams, ensuring high-quality code, adherence to standards, and effective deliveryDrive integration with enterprise systems using APIs, Microsoft Graph, and other external servicesContribute to technical decision-making, risk assessment, and mitigation strategies while ensuring successful delivery of complex AI solutions Requirements 12-16 years of experience in software engineeringExpertise in designing and building scalable applications on Azure cloud using Azure Functions, Web Apps, API Management and Azure DevOpsHands-on experience with Generative AI solutions including Azure OpenAI, prompt engineering and implementation of Retrieval Augmented Generation (RAG) using Azure AI SearchBackground in building and integrating AI-driven applications such as chatbots, automation workflows and NLP-based systemsProficiency in Infrastructure as Code (IaC) using Bicep or ARM templates along with strong understanding of CI/CD pipelines and DevOps practicesSolid programming skills in Python or C#/.NET with exposure to frameworks like FastAPI or Web APIsCompetency in designing unstructured data pipelines including data ingestion, transformation, enrichment and indexing for AI-driven applicationsUnderstanding of distributed system design, scalability, performance optimization and monitoring using Azure Application InsightsFamiliarity with agentic frameworks, orchestration tools (e.g., LangChain, Semantic Kernel) or multi-agent systems Nice to have Experience with Kubernetes or container-based deployments (AKS)Exposure to multi-region deployments and high-availability architectureFamiliarity with SonarCloud or similar code quality toolsBackground in product-based or platform engineering environments We are seeking an experienced Solution Architect - Azure with AI to lead the design and delivery of scalable, AI-driven solutions within the Azure ecosystem. The ideal candidate will bring deep technical expertise, strong leadership skills, and a passion for building innovative GenAI platforms that align with business goals and long-term architecture strategy. Responsibilities Provide end-to-end technical leadership from solution design to implementation, ensuring alignment with business goals and long-term architecture strategyCollaborate closely with Product Managers and stakeholders to refine user stories and translate business requirements into scalable AI-driven solutionsDesign and develop architecture blueprints, including system design, integration strategies, and solution components for GenAI platformsLead the development and deployment of RAG-based applications, AI automation solutions, and intelligent interfaces within the Azure ecosystemDefine and implement best practices for performance, scalability, security, and cost optimization across AI and cloud solutionsGuide and mentor engineering teams, ensuring high-quality code, adherence to standards, and effective deliveryDrive integration with enterprise systems using APIs, Microsoft Graph, and other external servicesContribute to technical decision-making, risk assessment, and mitigation strategies while ensuring successful delivery of complex AI solutions Requirements 12-16 years of experience in software engineeringExpertise in designing and building scalable applications on Azure cloud using Azure Functions, Web Apps, API Management and Azure DevOpsHands-on experience with Generative AI solutions including Azure OpenAI, prompt engineering and implementation of Retrieval Augmented Generation (RAG) using Azure AI SearchBackground in building and integrating AI-driven applications such as chatbots, automation workflows and NLP-based systemsProficiency in Infrastructure as Code (IaC) using Bicep or ARM templates along with strong understanding of CI/CD pipelines and DevOps practicesSolid programming skills in Python or C#/.NET with exposure to frameworks l