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AI Platform Architect

Actively Reviewing the Applications

Getege EdTech Pvt. Ltd.

India, Uttar Pradesh, Noida Full-Time On-site
Posted 5 hours ago Apply by June 14, 2026

Job Description

We are seeking an elite AI Platform Architect to design enterprise-scale, GPU-accelerated AI platforms leveraging NVIDIA technologies, Kubernetes, and cloud-native patterns. Join our AI Center of Excellence to govern centralized MLOps platforms that enable scalable, secure, and reusable AI/ML/GenAI development across hybrid cloud environments.

Role Summary

The AI Platform Architect owns the design and governance of centralized platforms enabling scalable AI operations. You'll architect NVIDIA GPU-accelerated reference architectures, establish Kubernetes-based MLOps standards, implement model lifecycle governance, and drive enterprise-wide AI platform security, performance optimization, and cost efficiency.

Key Responsibilities

AI Platform Architecture

  • Architect enterprise-scale, GPU-accelerated AI platforms using NVIDIA technologies, Kubernetes, and cloud-native patterns
  • Define cloud-native AI platform standards for consistent deployment across private/public/hybrid clouds
  • Design AI model lifecycle management (versioning, validation, governance, observability) on GPU-backed platforms
  • Establish containerization standards (Docker/Kubernetes) ensuring GPU utilization and MLOps integration

Platform Governance & Security

  • Partner with security/legal teams to enforce AI platform security standards (GPU isolation, IAM, encryption, audit logging)
  • Monitor GPU/compute utilization and drive cost-optimization/capacity planning strategies
  • Mitigate architectural/performance risks for enterprise-scale AI deployments

Technical Leadership

  • Serve as technical advisor to AI CoE leadership, aligning NVIDIA GPU infrastructure with business strategy
  • Collaborate with data scientists, MLOps engineers, and app teams for seamless AI integration
  • Continuously optimize GPU utilization, inference latency, and training throughput
  • Provide platform health, performance, and cost reports to stakeholders

Skills: enterprise,security,platforms,drive,kubernetes,nvidia,design,utilization,integration,cloud
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