Cloud Architect - AI ML : Bangalore: ITPL

Please share your resume to [Confidential Information] / Call: 8867163603 for more details.

Work Location: Hybrid (3 days/week)

Bangalore Office: GyanSys Infotech, Prestige Shantiniketan (PSN) Tech Park, ITPL Road, Whitefield, Bangalore - 560048

Role : Cloud Architect - AI /ML

Location: Bengaluru, India (Hybrid: Work from Office)

Experience: 8-12 Yrs

Role Overview

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.

Key Responsibilities

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.