Azure AI Team Lead

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