Azure AI (Agentic) Specialist - Team Lead

Remote

Full Time

Manager/Supervisor

Role: Team Lead - Azure AI (Agentic) Engineer

Location: Pakistan (hybrid work model)

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

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Please explain a project, where you have created a production-grade RAG pipeline using Azure AI Search (vector + hybrid search)*

Please explain a project, where you have performed Azure OpenAI deployments (multi-tenant, scaling, cost optimization)*

Please explain a project, where you have built Agentic AI or tool-using LLM systems (ReAct, multi-agent, etc.)*

Please note, our budget for this role ranges from INR 40-50 LPA annually (based on experience) and standard Indian local benefits. And, we need candidates with a notice of one month or less.

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