Cloud Architect - AI Platform | Azure & AWS

Tata Consultancy Services; Bengaluru; On-site; INR 2,800,000 - 4,000,000; Full time

Job summary

Tata Consultancy Services Bengaluru is seeking a Cloud Architect to design and deploy AI solutions on Azure and AWS, building secure, scalable cloud-native architectures that align with enterprise needs.

You will collaborate with cross-functional teams, drive governance and compliance, and produce deployment plans, architecture documents, and technical artifacts. Strong expertise in Kubernetes, Docker, Terraform, and GenAI deployments is essential.

Qualifications

• Cloud Architect with 6-8 years of experience in Azure & AWS.
• Experience in GenAI/LLM/AI Platform deployments.
• Strong knowledge of Kubernetes (AKS/EKS), Docker, Terraform, and DevOps.
• Expertise in cloud security, governance, and solution architecture.
• Experience working with enterprise stakeholders and Agile teams.
• Azure/AWS certifications preferred.

Responsibilities

• Design and deploy AI solutions on Azure and AWS.
• Develop secure, scalable, and cloud-native architectures.
• Collaborate with cross-functional stakeholders and engineering teams.
• Ensure cloud security, governance, and compliance standards.
• Prepare architecture documents, deployment plans, and technical artifacts.
• Support cloud automation, DevOps, and production readiness activities.
• Identify risks, resolve issues, and drive continuous improvement.

Skills

Azure

AWS

Kubernetes

Docker

Terraform

DevOps

Cloud security

Governance

Solution architecture

GenAI

Tools

Kubernetes

Docker

Terraform

Job description

Role & responsibilities

• Design and deploy AI solutions on Azure and AWS.
• Develop secure, scalable, and cloud-native architectures.
• Collaborate with cross-functional stakeholders and engineering teams.
• Ensure cloud security, governance, and compliance standards.
• Prepare architecture documents, deployment plans, and technical artifacts.
• Support cloud automation, DevOps, and production readiness activities.
• Identify risks, resolve issues, and drive continuous improvement.

Preferred candidate profile

• Cloud Architect with 6-8 years of experience in Azure & AWS.
• Experience in GenAI/LLM/AI Platform deployments.
• Strong knowledge of Kubernetes (AKS/EKS), Docker, Terraform, and DevOps.
• Expertise in cloud security, governance, and solution architecture.
• Experience working with enterprise stakeholders and Agile teams.
• Azure/AWS certifications preferred