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