Cloud Architect - AI & GenAI Platforms (Azure & AWS)_XP: 6+_Bengaluru

Tata Consultancy Services Limited; Bengaluru; On-site; INR 5,500,000 - 7,000,000; Full time

Job summary

Tata Consultancy Services Limited in Bengaluru is seeking an experienced Principal AI Cloud Architect to design and deploy enterprise AI solutions across Azure and AWS. You will drive scalable, secure cloud platforms, collaborate with cross-functional teams, and define architecture standards to support AI initiatives. This role requires hands-on leadership, deep cloud expertise, and a track record of delivering complex cloud modernization programs.

Qualifications

• Experience designing AI cloud architectures for enterprises.
• Hands-on expertise with Azure and AWS cloud services.
• Strong knowledge of security, governance, and compliance.
• Leadership and collaboration with cross-functional teams.

Responsibilities

• Design and implement AI-driven cloud solutions on Azure and AWS.
• Architect scalable, secure, and high-performing cloud platforms.
• Collaborate with business, engineering, security, and operations teams.
• Define standards for cloud, data, integration, and platform architecture.
• Lead AI/LLM deployment, governance, and operational readiness.
• Ensure security and enterprise architecture compliance.
• Develop architecture docs, implementation plans, and guidance.
• Identify risks and performance bottlenecks.
• Support DevOps, CI/CD, automation, and production deployment.
• Provide technical leadership for cloud modernization initiatives.

Skills

Cloud Architecture

Azure Cloud

AWS

Generative AI

LLMs

Kubernetes

Azure Databricks

Azure Active Directory

Azure Functions

Job description

Principal AI Cloud Architect - Azure & AWS

We are looking for an experienced AI Cloud Architect to design and deploy enterprise AI solutions across Azure and AWS while leveraging native cloud services, ensuring scalability, security, and operational excellence.

Key Skills

• Cloud Architecture
• Azure Cloud
• AWS
• Generative AI
• Large Language Models (LLM)
• Kubernetes
• Azure DevOps
• Azure Databricks
• Azure Active Directory
• Azure Functions

Responsibilities

• Design and implement AI-driven cloud solutions on Azure and AWS.
• Architect scalable, secure, and high-performing cloud platforms using native cloud services.
• Collaborate with business, engineering, security, and operations teams to deliver enterprise solutions.
• Define cloud, data, integration, and platform architecture standards.
• Drive AI/LLM solution deployment, governance, and operational readiness.
• Ensure compliance with security, quality, and enterprise architecture standards.
• Develop architecture documentation, implementation plans, and technical guidance.
• Identify and mitigate technical risks, dependencies, and performance bottlenecks.
• Support DevOps, CI/CD, automation, and production deployment activities.
• Provide technical leadership and best practices for cloud modernization initiatives.