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
• 2. 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
• 3. 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
• 4. Backend Development with Python
  • Develop robust backend services using Python with FastAPI

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.