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We are looking for an experienced Azure Architect with deep expertise in Retrieval-Augmented Generation (RAG), Generative AI, and enterprise-scale cloud architecture. The ideal candidate will design and implement scalable AI solutions on Microsoft Azure using Azure OpenAI and modern AI orchestration frameworks. This role requires strong hands-on architecture experience in building secure, production-grade GenAI applications integrated with enterprise systems and data platforms.Key ResponsibilitiesDesign, architect, and implement Azure-based AI/ML and Generative AI solutions with strong expertise in RAG architecture.Build scalable and secure RAG pipelines using Azure OpenAI, Azure AI Search, Vector Databases, Cognitive Services, and frameworks such as LangChain and LlamaIndex.Define enterprise-grade architecture for: Document ingestion; Data chunking; Embedding generation; Vector indexing; Semantic search; LLM orchestration.Integrate AI solutions with enterprise applications, APIs, databases, SharePoint, and cloud/native data sources.Lead end-to-end solution architecture covering: Security and governance; Performance optimization; Cost management; Scalability and reliability.Collaborate with business stakeholders, product teams, data engineers, and developers to translate business use cases into AI-driven solutions.Implement prompt engineering strategies, grounding techniques, hallucination mitigation, and AI observability for enterprise GenAI applications.Provide technical leadership, architecture governance, best practices, and mentoring to engineering teams.Design CI/CD pipelines and cloud-native deployment strategies for AI workloads.Drive architecture reviews, technology evaluations, and proof-of-concept initiatives.Required Skills & QualificationsTechnical Skills8+ years of experience in software engineering, cloud architecture, or enterprise solution architecture.Strong expertise in Microsoft Azure cloud ecosystem.Hands-on experience with: Azure OpenAI Service; Azure AI Studio; Azure AI Search; Azure Functions; Azure Kubernetes Service (AKS); Azure Cosmos DB; Azure Data Factory; Azure API Management.Strong understanding of RAG architecture and vector search implementations.Experience with vector databases and embedding models.Proficiency in Python and AI orchestration frameworks such as LangChain or LlamaIndex.Experience with REST APIs, microservices, and cloud-native architectures.Knowledge of enterprise security, IAM, networking, and governance in Azure.Understanding of DevOps, CI/CD pipelines, Infrastructure as Code (Terraform/Bicep), and containerization.
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