Posted 29 July, 2026
Cloud Architect - AI Platform
Tranzeal Inc.
Bengaluru, Karnataka, IN
Full Time
Reference: 26-00783-1238-1
Cloud Architect - AI Platform
Experience: 8+ Years of experience
Salary: 24.5 LPA
Location: ITPL, BLR
Work Mode: 5 days from office
We are seeking an experienced Cloud Architect to lead the design, evaluation, deployment, and evolution of enterprise AI platforms across cloud, on-premises, hybrid, and air-gapped environments. This role will define AI platform strategy, evaluate emerging AI technologies, drive migrations, and establish scalable deployment patterns for AI applications, models, and agentic systems.
Location: BLR
Scope of Work
• Define AI platform architecture for MLOps, LLMOps, AgentOps, and RAG.
• Evaluate new AI services, models, and cloud-native capabilities.
• Engage with Azure, AWS, GCP, Databricks, NVIDIA, and AI vendors.
• Design deployment and migration strategies across cloud and on-prem platforms.
• Architect AI solutions for cloud, hybrid, and air-gapped environments.
• Define standards for MCP, A2A, WebSockets, Streaming HTTP, and SSE.
• Configure GPU infrastructure, Kubernetes, and OpenShift-based AI platforms.
• Drive AI governance, security, reliability, and cost optimization.
• Mentor engineering teams and lead architecture reviews.
Must-Have Skills
• 8+ years in Cloud/Platform Architecture.
• 3+ years in AI/ML/GenAI platforms.
• Azure, AWS, or GCP architecture expertise.
• On-prem, hybrid, and air-gapped deployment experience.
• Kubernetes, OpenShift, Docker.
• Terraform or Bicep.
• AI Foundry, AWS Bedrock, Databricks, SageMaker, or Vertex AI.
• LLMs, RAG, Agentic AI, Vector Databases.
• MCP, A2A, WebSockets, Streaming HTTP/SSE.
• Enterprise integration, migration, and modernization experience.
• Cloud Architect Professional Certifications.
Good-to-Have Skills
• LangGraph, Semantic Kernel, CrewAI.
• GPU optimization.
• AI FinOps.
Experience: 8+ Years of experience
Salary: 24.5 LPA
Location: ITPL, BLR
Work Mode: 5 days from office
We are seeking an experienced Cloud Architect to lead the design, evaluation, deployment, and evolution of enterprise AI platforms across cloud, on-premises, hybrid, and air-gapped environments. This role will define AI platform strategy, evaluate emerging AI technologies, drive migrations, and establish scalable deployment patterns for AI applications, models, and agentic systems.
Location: BLR
Scope of Work
• Define AI platform architecture for MLOps, LLMOps, AgentOps, and RAG.
• Evaluate new AI services, models, and cloud-native capabilities.
• Engage with Azure, AWS, GCP, Databricks, NVIDIA, and AI vendors.
• Design deployment and migration strategies across cloud and on-prem platforms.
• Architect AI solutions for cloud, hybrid, and air-gapped environments.
• Define standards for MCP, A2A, WebSockets, Streaming HTTP, and SSE.
• Configure GPU infrastructure, Kubernetes, and OpenShift-based AI platforms.
• Drive AI governance, security, reliability, and cost optimization.
• Mentor engineering teams and lead architecture reviews.
Must-Have Skills
• 8+ years in Cloud/Platform Architecture.
• 3+ years in AI/ML/GenAI platforms.
• Azure, AWS, or GCP architecture expertise.
• On-prem, hybrid, and air-gapped deployment experience.
• Kubernetes, OpenShift, Docker.
• Terraform or Bicep.
• AI Foundry, AWS Bedrock, Databricks, SageMaker, or Vertex AI.
• LLMs, RAG, Agentic AI, Vector Databases.
• MCP, A2A, WebSockets, Streaming HTTP/SSE.
• Enterprise integration, migration, and modernization experience.
• Cloud Architect Professional Certifications.
Good-to-Have Skills
• LangGraph, Semantic Kernel, CrewAI.
• GPU optimization.
• AI FinOps.
