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Azure AI (Agentic) Specialist - Team Lead at NorthBay Solutions. Location Information: India. Role: Team Lead - Azure AI (Agentic) Engineer. Location:. India (Remote). Client: Middle East (Government). About the Role:. NorthBay Solutions, an AWS global Consulting Partner with distributed teams across the US, Canada, UAE, India, and Pakistan, is hiring a high-caliber . Azure AI Specialist (Team Lead). with deep expertise in building enterprise-grade . Generative AI, RAG, and Agentic AI solutions. on the . Azure ecosystem. .. This role requires hands-on experience in designing scalable, multi-tenant AI systems, integrating LLMs, and building intelligent pipelines using. Azure-native services.. Key Responsibilities. Design and deploy . LLM-powered applications. using Azure OpenAI for enterprise use cases. Build and optimize . Retrieval-Augmented Generation (RAG). pipelines using Azure AI Search (vector + hybrid search). Develop . Agentic AI systems. leveraging frameworks and tool-based reasoning approaches. Implement . custom Document Intelligence models. for high-accuracy data extraction (e.g., IDs, structured documents). Architect . multi-tenant AI deployments. with scalability, security, and cost-efficiency in mind. Develop and manage . Knowledge Graphs. for structured reasoning and contextual intelligence. Apply advanced . prompt engineering techniques. (Few-shot, Chain-of-Thought, ReAct). Use . Prompt Flow in Azure AI Studio. for experimentation, testing, and versioning. Design . intelligent conversational systems. with fallback handling and contextual memory. Build and manage . MLOps pipelines. using Azure Machine Learning. Required Skills & Experience. Overall 10+ years experience, with a focus on . Azure OpenAI API. (deployments, scaling, optimization). Proven expertise in building . RAG pipelines using Azure AI Search. Experience with . vector databases and hybrid search architectures. Practical experience in . Agentic AI / multi-agent systems. Hands-on with . Azure AI Document Intelligence (Form Recognizer). Solid understanding of . Knowledge Graphs and semantic modeling. Expertise in . prompt engineering & LLM optimization techniques. Experience with . Prompt Flow (Azure AI Studio). Strong background in . Python and cloud-native development. Experience with . Azure ML / MLOps pipelines. Ability to design scalable and secure . enterprise AI architectures. Nice to Have. Experience with . LangChain, Semantic Kernel, or similar frameworks. Exposure to . multi-agent orchestration tools. Prior experience working with . enterprise clients or large-scale AI deployments