Expert AI Solution Architect

5 days ago

Kurnool, Andhra Pradesh, India beBeeSolution Full time ₹ 17,44,500 - ₹ 23,12,500
Job Summary

The primary objective of this role is to design and develop infrastructure platforms, particularly HPE Private Cloud AI and HPE AI Factory solutions, to support enterprise-grade AI workloads.

Key Responsibilities
  • Designing and building infrastructure platforms for AI/ML and HPC workloads
  • Collaborating with cross-functional teams to align technical solutions with business objectives
  • Delivering successful infrastructure projects, including platform build-outs for AI/ML and HPC workloads
Kubernetes Platforms

We are seeking a professional with proficiency in container orchestration platforms, especially Red Hat OpenShift, SUSE Rancher, and CNCF Kubernetes.

  • Experience with GPU-accelerated workloads and tools like NVIDIA GPU Operator and DCGM
  • Ability to integrate Kubernetes with AI/ML workloads and GPU infrastructure in hybrid or private cloud environments
HPC Experience

A strong background in architecting HPC clusters, including GPU/compute nodes and HPC storage technologies (e.g., Lustre, WEKA, Parallel Filesystems), is essential.

  • Understanding of high-speed networking (e.g., InfiniBand, Mellanox, RoCE)
  • Experience with HPC cluster management tools such as HPE Cluster Management (HPCM) or NVIDIA Base Command Manager
  • Familiarity with HPC workload schedulers like Slurm or Altair PBS Pro
Infrastructure & Hardware Stack

This position requires a solid understanding of Linux system administration (RHEL / SLES / Ubuntu) and virtualization (KVM or OpenShift Virtualization).

  • Primary focus on HPE servers and storage; experience with Dell, Lenovo, Supermicro, NVIDIA DGX/HGX platforms is acceptable
Ai Platform Enablement

We are looking for an expert who can deploy and support NVIDIA AI Enterprise and related AI/ML frameworks.

  • Familiarity with DevOps/MLOps practices, including CI/CD, Infrastructure as Code (IaC), and cloud-native security
Requirements
  • Demonstrated success in delivering infrastructure projects
  • Ability to collaborate with cross-functional teams and align technical solutions with business goals

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