Azure AI (Agentic) Specialist - Team Lead (Remote)

NorthBay Solutions LLC; India; Remote; INR 2,000,000 - 3,000,000; Full time

Job summary

A prominent consulting firm in India is looking for a Team Lead - Azure AI Engineer to design and deploy enterprise AI solutions on Azure. The ideal candidate will have over 10 years of experience in Azure OpenAI API, RAG pipelines, and developing scalable AI architectures. Responsibilities include deploying LLM-powered applications, optimizing RAG pipelines, and leading the development of Agentic AI systems. This position is remote, offering an exciting opportunity to work on cutting-edge technologies.

Qualifications

• Overall 10+ years experience focused on Azure OpenAI API.
• Proven expertise in RAG pipelines and Azure AI Search.
• Strong Python and cloud-native development skills.

Responsibilities

• Design and deploy LLM-powered applications using Azure OpenAI.
• Build and optimize RAG pipelines using Azure AI Search.
• Develop Agentic AI systems leveraging frameworks.

Skills

Azure OpenAI API

RAG pipelines using Azure AI Search

Agentic AI / multi-agent systems

Knowledge Graphs

Python

MLOps pipelines

Prompt engineering

Job description

Overview

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-caliberAzure 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