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
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Design and deploy LLM-powered applications using Azure OpenAI for enterprise use cases
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Build and optimize Retrieval-Augmented Generation (RAG) pipelines using Azure AI Search (vector + hybrid search)
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Develop Agentic AI systems leveraging frameworks and tool-based reasoning approaches
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Implement custom Document Intelligence models for high-accuracy data extraction (e.g., IDs, structured documents)
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Architect multi-tenant AI deployments with scalability, security, and cost-efficiency in mind
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Develop and manage Knowledge Graphs for structured reasoning and contextual intelligence
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Apply advanced prompt engineering techniques (Few-shot, Chain-of-Thought, ReAct)
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Use Prompt Flow in Azure AI Studio for experimentation, testing, and versioning
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Design intelligent conversational systems with fallback handling and contextual memory
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Build and manage MLOps pipelines using Azure Machine Learning
Required Skills & Experience
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Overall 10+ years experience, with a focus on Azure OpenAI API (deployments, scaling, optimization)
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Proven expertise in building RAG pipelines using Azure AI Search
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Experience with vector databases and hybrid search architectures
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Practical experience in Agentic AI / multi-agent systems
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Hands-on with Azure AI Document Intelligence (Form Recognizer)
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Solid understanding of Knowledge Graphs and semantic modeling
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Expertise in prompt engineering & LLM optimization techniques
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Experience with Prompt Flow (Azure AI Studio)
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Strong background in Python and cloud-native development
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Experience with Azure ML / MLOps pipelines
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Ability to design scalable and secure enterprise AI architectures
Nice to Have
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Experience with LangChain, Semantic Kernel, or similar frameworks
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Exposure to multi-agent orchestration tools
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Prior experience working with enterprise clients or large-scale AI deployments