Job Title: AI Platform Architect
The Role: The AI Platform Architect designs and governs centralized platforms that enable scalable, reusable, and secure AI development and operations across the enterprise. This role focuses on platform capabilities rather than individual solutions.
Competency Focus: AI platform engineering, MLOps systems, cloud architecture, enterprise enablement
Responsibilities:
Architect and define enterprise‑scale, GPU‑accelerated AI platform reference architectures leveraging NVIDIA technologies, Kubernetes, and cloud‑native patterns to support high‑performance, scalable, and resilient AI, ML, and GenAI workloads aligned with strategic business use cases.
Establish and govern cloud‑native AI platform standards using Kubernetes and container orchestration best practices, enabling consistent and secure deployment of NVIDIA GPU‑enabled AI workloads across private, public, and hybrid cloud environments, with a solid focus on scalability, reliability, and performance optimization.
Define and institutionalize AI model lifecycle management best practices,
including model versioning, validation, governance, controlled deployment, observability, and continuous monitoring on GPU‑backed AI platforms to ensure operational stability and auditability.
Design and enforce containerization and deployment standards using Docker and Kubernetes for AI workloads, ensuring portability, reproducibility, efficient GPU utilization, and seamless CI/CD and MLOps integration across environments.
Partner with Information Security, AI Legal, and Regulatory teams to define and enforce enterprise‑wide security and compliance standards for AI platforms, covering GPU workload isolation, identity and access management, data encryption, audit logging, and regulatory adherence.
Monitor and analyze GPU, compute, memory, and storage utilization across AI platforms, recommend cost‑optimization and capacity‑planning strategies, and drive efficiency improvements for AI workloads i
📌 AI Platform Architect (Noida)
🏢 HCLTech
📍 Noida