GyanSys - Cloud Architect - AI/ML Platform

GyanSys Inc.; Bengaluru; Hybrid; INR 4,500,000 - 7,500,000; Full time

Job summary

GyanSys Inc. in Bengaluru, India, is 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 and drive migrations to establish scalable deployment patterns for AI applications, models, and agentic systems. You will engage with Azure, AWS, and GCP, work on MLOps/LLMOps/AgentOps, and mentor engineering teams while driving

Qualifications

• 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.

Responsibilities

• Define AI platform architecture for MLOps, LLMOps, AgentOps, and RAG.
• Evaluate new AI services, models, and cloud-native capabilities.
• Engage with major cloud providers and vendors.
• Design deployment/migration strategies across cloud and on-prem.
• Architect AI solutions for cloud, hybrid, and air-gapped environments.
• Define standards for MCP, A2A, WebSockets, Streaming HTTP/SSE.
• Configure GPU infra, 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

Azure/AWS/GCP

On-prem/Hyrid/air-gapped

Kubernetes/OpenShift

Docker

Terraform/Bicep

MLOps/LMMOps/AgentOps

WebSockets/Streaming SSE

AI governance & FinOps

Tools

Kubernetes

OpenShift

Docker

Terraform

Bicep

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 Skills :
• LangGraph, Semantic Kernel, CrewAI
• GPU optimization
• AI FinOps

(ref:hirist.tech)