Azure Cloud and AI Engineer

PriceWaterhouseCoopers Pvt Ltd ( PWC ); Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

PwC is seeking an experienced Azure Cloud & AI Engineer to design, develop, and deploy intelligent agentic systems for healthcare operations. You will lead Azure-native agentic AI solutions, working with Oracle, Pega, and ServiceNow platforms.

Responsibilities include designing scalable cloud architectures, building AI-powered agents, integrating Azure OpenAI and cognitive services, and delivering robust backend services using Python.

Qualifications

• 5–8 years software development and cloud engineering experience
• 4–5 years hands-on experience with Microsoft Azure platform
• 4 years production-level Python development
• 3+ years Azure AI services and LLM/Agentic AI integrations
• Strong knowledge of Python, FastAPI/Flask, async programming, testing and code quality

Responsibilities

• Design and architect scalable Azure cloud solutions
• Develop intelligent agentic systems using Azure AI Foundry/Studio
• Integrate Azure OpenAI, Cognitive Services, and AI Search into healthcare apps
• Build Python backend services with FastAPI/Flask on Azure
• Set up CI/CD and IaC with Terraform and ARM/Bicep
• Collaborate with stakeholders and mentor UiPath engineers

Skills

Azure

Python

FastAPI/Flask

LLM/Agentic AI

Azure AI Services

Azure OpenAI

Azure Functions

AKS

Event Hubs/Service Bus

Multi-agent orchestration

Education

BE/BTech/MCA/MTech/MBA

Tools

Docker

Terraform

Kubernetes

Cosmos DB

Azure SQL

Job description

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 TechnologyDegrees/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, AI Fluency, AI‑Human Collaboration, 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, Cognitive Automation, Communication, Conducting Discovery {+ 39 more}

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date

September 17, 2026

Experience Level

Senior Level