IN_Senior Associate_Azure Cloud Solutions _GCC_Advisory_Hyderabad

Job Description & Summary

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in intelligent automation at PwC will focus on conducting process mining, designing next generation small- and large-scale automation solutions, and implementing intelligent process automation, robotic process automation and digital workflow solutions to help clients achieve operational efficiencies and reduce costs.

Job Description & Summary

We are seeking an experienced Azure Cloud & AI Engineer to design, develop, and deploy intelligent agentic systems for Providence Global Centers (PGC) healthcare operations. You will be the primary technical lead for Azure-native Agentic AI solutions, working alongside Oracle Agentic Studio and open-source Python-based agent architectures as PGC transitions from traditional RPA to next-generation autonomous agents across its Oracle, Azure, Pega, and ServiceNow platforms.

Responsibilities

• 1. Azure Cloud Architecture & Implementation - Design and architect scalable, multi-tenant cloud solutions on Microsoft Azure - Implement microservices and serverless architectures using Azure Functions, App Service, and Container Instances - Deploy and manage containerised applications using Docker and Azure Kubernetes Service (AKS) - Design event-driven architectures using Azure Event Hub and Service Bus
• 1. Azure AI Foundry & Agentic Solutions Development - Design and develop intelligent agentic systems using Azure AI Foundry / Azure AI Studio - Build AI-powered agents for autonomous decision-making, workflow orchestration, and healthcare operations automation - Integrate Azure OpenAI, Azure Cognitive Services, Azure AI Search, and Document Intelligence into production healthcare applications - Implement multi-agent orchestration patterns - including supervisor, specialist, and swarm agent topologies - Design and implement RAG (Retrieval-Augmented Generation) pipelines with vector databases for healthcare knowledge retrieval - Design agent memory, context management, and stateful conversation patterns - Evaluate and monitor LLM/agent quality using PromptFlow, RAGAS, or LangSmith
• 1. Cross-Platform Enterprise Integration - Integrate agentic solutions with Oracle ERP/HCM, Pega decision platforms, and ServiceNow workflows - Build API gateway patterns that route agent invocations across Oracle, Azure, and ServiceNow systems - Understand and navigate RPA-to-Agentic migration patterns - redesigning UiPath/RPA workflows as intelligent, autonomous agents - Support healthcare data integration: FHIR APIs, HL7 message formats, EDI 835/837 claims processing
• 1. Backend Development with Python - Develop robust backend services using Python with FastAPI

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