Solution Architect - Azure with AI

Solution Architect - Azure with AI

Responsibilities

• Provide end-to-end technical leadership from solution design to implementation, ensuring alignment with business goals and long-term architecture strategy
• Collaborate closely with Product Managers and stakeholders to refine user stories and translate business requirements into scalable AI-driven solutions
• Design and develop architecture blueprints, including system design, integration strategies, and solution components for GenAI platforms
• Lead the development and deployment of RAG-based applications, AI automation solutions, and intelligent interfaces within the Azure ecosystem
• Define and implement best practices for performance, scalability, security, and cost optimization across AI and cloud solutions
• Guide and mentor engineering teams, ensuring high-quality code, adherence to standards, and effective delivery
• Drive integration with enterprise systems using APIs, Microsoft Graph, and other external services
• Contribute 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 engineering
• Expertise in designing and building scalable applications on Azure cloud using Azure Functions, Web Apps, API Management and Azure DevOps
• Hands-on experience with Generative AI solutions including Azure OpenAI, prompt engineering and implementation of Retrieval Augmented Generation (RAG) using Azure AI Search
• Background in building and integrating AI-driven applications such as chatbots, automation workflows and NLP-based systems
• Proficiency in Infrastructure as Code (IaC) using Bicep or ARM templates along with strong understanding of CI/CD pipelines and DevOps practices
• Solid programming skills in Python or C#/.NET with exposure to frameworks like FastAPI or Web APIs
• Competency in designing unstructured data pipelines including data ingestion, transformation, enrichment and indexing for AI-driven applications
• Understanding of distributed system design, scalability, performance optimization and monitoring using Azure Application Insights
• Familiarity 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 architecture
• Familiarity with SonarCloud or similar code quality tools
• Background in product-based or platform engineering environments