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 Skilled Certifications.

Good-to-Have Skills

- LangGraph, Semantic Kernel, CrewAI.
- GPU optimization.
- AI FinOps.

📌 Cloud Architect - AI Platform (Bengaluru)
🏢 GyanSys
📍 Bengaluru