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
Originally posted on Himalayas