AI Platform Architect

Actively Reviewing the Applications

Getege EdTech Pvt. Ltd.

India, Karnataka, Bengaluru Full-Time On-site

Posted 17 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