GyanSys Inc.
Website:
gyansys.com
Company:
https://www.linkedin.com/company/gyansys
Seniority: Not Applicable
Industries: Data Infrastructure and Analytics, Technology, Information and Internet, and Software Development
Job details:
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)
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