Senior Full Stack AI Engineer - Generative and Agentic AI

IN-Manager_ Azure Cloud Infra Analytics _Data and Analytics_Advisory_ Mumbai

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

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.

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.

*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 Description & Summary:  

A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. 

Job Summary: Design, implement, and manage enterprise-grade Azure cloud infrastructure with expertise in networking, resource provisioning, IAM, and CI/CD automation. 

 

Responsibilities 

 

Infrastructure & Networking 

• Design and deploy scalable Azure infrastructure (VMs, AKS, App Services, Storage) 

• Configure VNets, subnets, NSGs, Load Balancers, Application Gateway, VPN/ExpressRoute 

• Implement hub-spoke topology, Private Link, Azure Firewall, and DDoS protection 

• Manage hybrid connectivity and network security policies 

Resource Provisioning 

• Provision and manage compute, storage, and database resources (Azure SQL, Cosmos DB, PostgreSQL, Kafka Cluster, App Service) 

• Deploy AKS clusters and container services (ACR, Container Instances) 

• Implement resource tagging, cost optimization, and capacity planning 

Identity & Access Management 

• Configure Azure AD/Entra ID integration and RBAC policies 

• Manage Managed Identities, Service Principals, and custom roles 

• Implement Azure Key Vault for secrets and certificate management 

• Set up Conditional Access and Privileged Identity Management (PIM) 

DevOps & CI/CD 

• Build and maintain CI/CD pipelines using Azure DevOps and GitHub Actions 

• Write YAML-based pipeline definitions with automated testing 

• Implement blue-green and canary deployment strategies 

• Manage Azure Artifacts and service connections 

Infrastructure as Code 

• Develop Terraform scripts and ARM templates 

• Implement Azure Policy for governance and compliance 

• Version control IaC using Git with modular patterns 

• Automate deployments through pipelines 

Monitoring & Automation 

• Configure Azure Monitor, Log Analytics, and Application Insights 

• Create alerts, dashboards, and KQL queries 

• Develop PowerShell, Azure CLI, and Python automation scripts 

• Implement Azure Backup and Site Recovery for DR 

 

Mandatory skill sets: 

• Azure infra & networking (VMs, AKS, VNets, NSGs, Load Balancers, Firewall, hybrid connectivity) 

• Resource provisioning (SQL, Cosmos DB, PostgreSQL, Kafka, App Services, AKS, ACR) 

• Identity & Access (Azure AD/Entra ID, RBAC, Managed Identities, Key Vault, PIM) 

• DevOps & CI/CD (Azure DevOps, GitHub Actions, YAML pipelines, blue-green/canary deployments) 

• Infrastructure as Code (Terraform, ARM templates, Azure Policy, Git) 

• Monitoring & Automation (Azure Monitor, Log Analytics, KQL, PowerShell, CLI, Python, Backup/DR) 

Preferred skill sets: 

 

• Multi-cloud/hybrid exposure 

• Advanced cost optimization & FinOps 

• Zero Trust security & compliance frameworks 

• Observability tools (Prometheus, Grafana) 

• Strong Python automation 

• Data streaming/analytics infra (Kafka, Event Hub, Synapse) 

• Geo-redundant DR & advanced architecture design 

Years of experience required: 

7 years relevant experience 

Education qualification: 

 

BE, B.Tech, ME, M,Tech, MBA, MCA (60% throughout) 

 

 

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required: Master of Business Administration, Master of Engineering, Bachelor of EngineeringDegrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Full Stack Development

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Coaching and Feedback, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling {+ 32 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

May 17, 2026

Experience Level

Mid Level