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Cloud Architect - AI Platform

Tranzeal · Bengaluru, KA

Weak hiring record · median 69 days open

8080

Hiring signal

Open

Still listed on the employer's own board · How we score

All reasons
  • Open 53 days

In its favour

  • Still listed on the employer's own board

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Cloud Architect - AI Platform at Tranzeal. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

Cloud Architect - AI Platform

Location

ITPL, Bengaluru

work mode

4 days work from office

Interview

AMAT interview will face to face - need local candidates

Experience Required

8+ years

Salary

28 LPA

JLT00002 - Cloud Architect - AI Platform

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.

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.

Skills

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