IN_Senior Associate_Azure AI Engg_GCC_Advisory_Bangalore

Line of Service
Advisory
Industry/Sector
FS X-Sector
Specialism
Operations
Management Level
Senior Associate
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.
Why PWC
At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us
At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. "
Job Summary- We are seeking an experienced Azure Cloud & AI Engineer to design, develop, and deploy intelligent agentic systems for Providence Global Center's (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 and Flask
Build RESTful and async APIs on Azure infrastructure
Implement Azure Cosmos DB, Azure SQL Database, and Azure Table Storage solutions with optimised query patterns
Write clean, maintainable, and well-documented code adhering to enterprise security and compliance standards
5. Azure DevOps & Infrastructure
Set up and maintain CI/CD pipelines using Azure DevOps or GitHub Actions
Implement Infrastructure as Code (IaC) using Terraform or Azure Resource Manager (ARM) / Bicep
Monitor and optimise cloud infrastructure using Azure Monitor, Application Insights, and Cost Management
Manage secrets, encryption, and HIPAA-aligned security compliance using Azure Key Vault
6. Collaboration & Delivery
Work closely with PGC healthcare stakeholders, domain experts, and cross-functional delivery teams
Mentor junior developers and cross-skilling UiPath engineers on Azure cloud and Agentic AI patterns
Produce architecture decision records, technical specifications, and solution design documents
Participate in discovery workshops and ROI modelling for new agentic use cases
Mandatory skill sets:
Experience Level
5–8 years of professional software development and cloud engineering experience
4–5 years hands-on experience with Microsoft Azure platform (architecture and production deployments)
4 years of production-level Python development
3+ years hands-on experience with Azure AI services and LLM/Agentic AI integrations
Core Technical Skills
Python & Frameworks:
Production-level Python with