Azure AI (Agentic) Specialist - Team Lead

3 hours ago

Remote, PakistanStaff+

Responsibilities

Design and deploy enterprise LLM-powered applications using Azure OpenAI.
Build and optimize RAG pipelines with Azure AI Search, including vector and hybrid search.
Develop agentic AI and multi-agent systems using tool-based reasoning frameworks.
Implement custom Document Intelligence models for extracting data from IDs and structured documents.
Architect scalable, secure, cost-efficient, multi-tenant AI deployments.
Develop and manage knowledge graphs for structured reasoning and contextual intelligence.
Apply prompt engineering techniques including few-shot prompting, chain-of-thought, and ReAct.
Use Prompt Flow in Azure AI Studio for experimentation, testing, and versioning.
Design conversational systems with fallback handling and contextual memory.
Build and manage MLOps pipelines using Azure Machine Learning.

10+ years of overall professional experience with a focus on Azure OpenAI API deployments, scaling, and optimization.
Proven experience building RAG pipelines with Azure AI Search and working with vector databases and hybrid search architectures.
Practical experience developing agentic AI and multi-agent systems.
Hands-on experience with Azure AI Document Intelligence, formerly Form Recognizer.
Strong understanding of knowledge graphs, semantic modeling, prompt engineering, and LLM optimization.
Experience with Prompt Flow in Azure AI Studio and Azure Machine Learning or MLOps pipelines.
Strong Python and cloud-native development skills.
Ability to design scalable, secure enterprise AI architectures.
Experience with LangChain, Semantic Kernel, or similar frameworks is preferred.
Exposure to multi-agent orchestration tools and enterprise-scale AI deployments is preferred.
Prior experience working with enterprise clients is preferred.

201-500 employees