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Senior Solutions Architect (VMware & AI Platform)

Rackspace Technology · Riyad

New
Onsite Senior 🇬🇧 English
VMware Cloud Foundation vSphere vCenter NSX VMware Aria Suite VMware Tanzu Kubernetes NVIDIA vGPU AMD Instinct GPU-as-a-Service NVIDIA Triton KServe Ray Kubeflow Terraform Ansible

Job description

About the role

Rackspace Technology is looking for a Senior Solutions Architect with deep expertise in VMware and AI platform enablement to support strategic sales opportunities across the Middle East. In this presales‑focused position you will partner with Sales, Solutions and Delivery teams to design modern datacentre, hybrid‑cloud and AI solutions that run on top of the hypervisor layer.

Key responsibilities

  • Develop trusted relationships with client executives and technical stakeholders, acting as both business and technical advisor.
  • Lead workshops on VMware private cloud adoption, datacentre modernisation, hybrid‑cloud architectures and AI platform strategy.
  • Design solutions leveraging VMware Cloud Foundation, vSphere, NSX, Aria Suite, Tanzu and complementary technologies.
  • Architect GPU‑as‑a‑Service, model inference and fine‑tuning workloads orchestrated through Kubernetes (VMware Tanzu/TKG) and integrated with NVIDIA or AMD accelerators.
  • Produce high‑quality proposals, RFI/RFP responses and Statements of Work that clearly articulate solution designs and delivery effort.

Required profile

  • Bachelor’s degree in Engineering, Computer Science or related field, or 10+ years of relevant technical presales/solution architecture experience.
  • Extensive experience designing enterprise infrastructure and VMware‑based solutions, including VCF, vSphere, vCenter, NSX and Tanzu.
  • Strong understanding of AI platform architecture, GPU virtualisation (NVIDIA vGPU/MIG, AMD Instinct) and MLOps tooling such as Triton, KServe, Ray or Kubeflow.

Required skills

  • VMware Cloud Foundation, vSphere, vCenter, NSX, VMware Aria Suite, VMware Tanzu.
  • Kubernetes orchestration, specifically VMware Tanzu Kubernetes Grid (TKG).
  • GPU‑as‑a‑Service provisioning, NVIDIA vGPU, MIG, AMD Instinct accelerators.
  • MLOps tools: NVIDIA Triton, KServe, Ray, Kubeflow.
  • Infrastructure automation: Terraform, Ansible, Aria Automation.

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Published 9 hours ago

Expires 1 month from now

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Rackspace Technology

Riyad