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GyanSys - Cloud Architect - AI/ML Platform

Gyansys Infotech Pvt ltd.
8 - 15 Years
Bangalore

Posted on: 11/08/2026

Job Description

Job Title : Cloud Architect - AI /ML


Location : Bengaluru, India


Experience : 8 - 12 Yrs


Work Location : Hybrid (3 days/week)


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


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

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