PwC—IN · Manager · Azure AI Engg · GCC · Advisory · Hyderabad

Job description

Description: Line of Service Advisory Industry/Sector FS X-Sector Specialism Operations Management Level Manager 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 FastAPI and Flask (async/await, dependency injection, middleware) - Async programming: asyncio, aiohttp, concurrent.futures - Packaging, virtual environments, unit testing (pytest), and code quality tooling Azure Platform Services: - Azure Compute: Functions, App Service, Container Instances, Virtual Machines, AKS - Azure Data: Cosmos DB, SQL Database, Azure Storage, Data Lake, Event Hub, Service Bus - Azure Networking: VNet, Application Gateway, API Management, Private Endpoints - Azure Identity: Azure AD / Entra ID, RBAC, Managed Identities - Azure AI: Azure OpenAI, Cognitive Services, Azure AI Search, Document Intelligence, Content Safety - Azure DevOps: Pipelines, Repos, Artifacts, Board tracking Azure AI Foundry & Agentic AI: - Azure AI Studio and AI Foundry platform — model deployment, evaluation, prompt management - Agentic frameworks: LangChain, AutoGen, CrewAI, Semantic Kernel - Multi-agent orchestration: supervisor/worker topologies, task routing, agent-to-agent communication - RAG pipeline design: chunking strategies, embedding models, vector retrieval, re-ranking - Vector databases: Azure AI Search (vector mode), Azure Cosmos DB (vector), pgvector, Pinecone - LLM evaluation and monitoring: RAGAS, PromptFlow, LangSmith, Azure AI Evaluations - Structured output generation, function calling, and tool use patterns - Agent memory patterns: short-term (context window), long-term (retrieval), episodic (session logs) \ - Container & Orchestration: - Docker containerisation: multi-stage builds, slim images, container registries - AKS deployment and management: Helm charts, namespaces, autoscaling, pod security Infrastructure as Code: - Terraform for Azure: state management, modules, workspace strategy - Azure Resource Manager (ARM) templates and Bicep Database Design & Optimisation: - Azure SQL Database: query optimisation, indexing, partitioning - NoSQL design with Azure Cosmos DB: partition key strategy, TTL, change feed - Vector store design: schema, metadata filtering, hybrid search Healthcare & Compliance Context (Preferred): - HIPAA compliance awareness in cloud architecture (PHI data handling, audit logging) - HL7/FHIR API familiarity for healthcare data exchange - EDI 835/837 basic familiarity for claims processing workflows - RPA-to-Agentic migration: understanding of process redesign from UiPath/RPA to agentic patterns Preferred skill sets:   - Oracle Agentic Studio or Oracle Cloud Infrastructure (OCI) familiarity - Pega Platform integration experience (decision strategies, case management APIs) - ServiceNow Now Platform integration (Virtual Agent, Flow Designer, REST APIs) - Multi-modal AI capabilities: document image classification, form extraction (Azure Form Recognizer) - Experience with UiPath RPA and willingness to guide transition to Agentic frameworks - Azure certifications: AZ-305 (Solutions Architect Expert), AZ-304, AI-102 (Azure AI Engineer Associate) - Healthcare GCC or BPO delivery experience Years of experience required:   7-10 Education qualification:   BE/Btech/MCA/Mtech/MBA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Technology Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Azure AI Search Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Methodology, Analytical Thinking, Automation Algorithms, Automation Engineering, Automation Framework Design and Development, Automation Programming, Automation Solutions, Automation Studio, Automation System Efficiency, Blue Prism, Business Analysis, Business Performance Management, Business Process Analysis, Business Process Automation (BPA), Business Transformation, Business Value Optimization, C++ Programming Language, Coaching and Feedback, Cognitive Automation, Communication, Conducting Discovery, Configuration Management (CM) {+ 41 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date September 18, 2026