Azure AI (Agentic) Specialist - Team Lead

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.

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

Requirements

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; Willingness to work 24x7 with rotational shifts; Candidates with a notice period of one month or less

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