Enterprise AI Architect

1 week ago

Bengaluru Pune, India Kloudportal Technology Solutions Full time ₹ 20,00,000 - ₹ 50,00,000 per year

Role Overview

At KloudPortal, we are seeking a highly skilled Senior Solutions Architect with strong expertise in Kubernetes, on-premise infrastructure, and cloud-native platforms. The ideal candidate will come from a Professional Services background with hands-on experience in design, implementation, configuration, and delivery of enterprise-grade solutions. This role focuses on delivery excellence, enabling seamless setup and operation of the NVIDIA AI Enterprise environment to empower Data Scientists across the organization.

Key Responsibilities

  • Design, implement, and configure Kubernetes-based on-prem and hybrid environments.
  • Lead end-to-end delivery of infrastructure solutions with a strong focus on execution, deployment, and operational readiness.
  • Architect and set up NVIDIA AI Enterprise platform environments, ensuring Data Scientists have a high-performance, secure, and scalable environment for AI/ML workloads.
  • Collaborate closely with cross-functional teams, including Data Science, Platform Engineering, and IT Infrastructure.
  • Engage with clients and stakeholders to translate business requirements into technical solutions.
  • Create high-quality documentationarchitecture diagrams, deployment runbooks, and configuration guides.
  • Apply best practices in Cloud Native Computing, including Infrastructure as Code (IaC) tools such as Terraform, Ansible, or similar.
  • Mentor teams and provide consulting-level guidance on solution design and operational optimization.

Required Skills & Experience

  • Strong hands-on expertise in Kubernetes, container orchestration, and on-prem infrastructure.
  • Proven background in Professional Services roles, with direct experience in design, implementation, and configuration of enterprise platforms.
  • Delivery-focused Solutions Architect with demonstrated experience executing complex deployments (not purely presales).
  • Excellent communication, stakeholder management, and consulting skills; ability to engage both technical and business audiences.
  • Experience with Cloud Native concepts, CI/CD, GitOps, and Infrastructure as Code practices.
  • Familiarity with NVIDIA AI Enterprise, GPU-accelerated compute environments, or AI/ML platform setup is an advantage.

Preferred Qualifications

  • Certifications in Kubernetes (CKA, CKAD, CKS), Cloud platforms, or NVIDIA stack.
  • Experience with GPU workloads, MLOps pipelines, or HPC environments.
  • Exposure to hybrid cloud architectures with VMware, Red Hat OpenShift, or similar platforms.

Who Should Apply

Professionals passionate about building robust, scalable AI-ready infrastructure and delivering high-impact solutions within enterprise environments. If you enjoy hands-on delivery, consulting engagements, and enabling Data Scientists with cutting-edge platforms, this role is for you.

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