Cloud Architect - AI Platform

GyanSys Inc.; Bengaluru; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

GyanSys Inc. is seeking an experienced Cloud Architect to lead the design and deployment of enterprise AI platforms across cloud, on-premises, hybrid, and air-gapped environments.

You will define AI platform strategy, evaluate technologies, drive migrations, and establish scalable deployment patterns for AI applications. Ideal candidates have 8+ years in cloud architecture and 3+ years in AI/GenAI platforms, with multi-cloud expertise (Azure/AWS/GCP) and strong migration experience.

Qualifications

• 8+ years in cloud/platform architecture across enterprise environments.
• 3+ years building AI/ML/GenAI platforms.
• Hands-on expertise with Azure, AWS, or GCP architectures.
• Experience with on-prem, hybrid, and air-gapped deployments.
• Familiarity with AI Foundry, Databricks, SageMaker, or Vertex AI.
• Proven enterprise integration and modernization experience.
• Cloud Architect Professional Certifications.

Responsibilities

• 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.

Skills

Cloud Architecture

AI/ML Platforms

Multi-Cloud (Azure/AWS/GCP)

Hybrid / On-Prem Deployment

AI Services (Foundry/Bedrock/SageMaker

Migration & Modernization

Certifications

Job description

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.
• AI Foundry, AWS Bedrock, Databricks, SageMaker, or Vertex AI.
• Enterprise integration, migration, and modernization experience.
• Cloud Architect Professional Certifications.