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Azure AI (Agentic) Specialist - Team Lead

NorthBay Solutions
2 days ago
Full-time
Remote
Pakistan

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