AI Data Center Network Architect (VXLAN EVPN)

Acuative Middle East

Riyadh

On-site

SAR 400,000 - 560,000

Full time

3 days ago
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Job summary

Acuative Middle East seeks an experienced Network Consulting Engineer to design and optimize next-generation data center networks for AI/ML workloads, GPU clusters, and hyperscale infrastructure.

Role requires hands-on VXLAN EVPN, BGP, RoCEv2, RDMA, Cisco Nexus, Arista EOS expertise and fabric-based architectures to deliver low-latency, scalable networks for AI training and large-scale compute environments.

Qualifications

  • Proven experience designing, deploying, and operating VXLAN EVPN-based data center networks.
  • Hands-on experience with Arista EOS, spine-leaf architectures, and core routing protocols.
  • Deep knowledge of BGP, OSPF, IS-IS, and multicast in fabric networks.
  • Experience with AI/HPC networking requirements and GPU-accelerated infrastructure.

Responsibilities

  • Design, deploy, and support VXLAN EVPN data center fabrics for AI and cloud-scale environments.
  • Architect scalable spine-leaf designs using Cisco Nexus 9000, ACI, and Arista EOS.
  • Configure L2/L3 segmentation, workload mobility, and network virtualization.
  • Collaborate with compute, storage, cloud, and DevOps teams for end-to-end performance.
  • Support network automation using Python, Ansible, Terraform (IaC).
  • Conduct network performance testing and capacity planning for AI workloads.

Skills

VXLAN EVPN
BGP
RoCEv2
RDMA
Cisco Nexus
Arista EOS
Spine-leaf
Python
Ansible
Terraform
AI HPC networking

Education

CCIE Data Center
CCNP Data Center
Cisco Specialist – Enterprise Core
CCIE Data Center or equivalent

Tools

VMware NSX
KVM
Hyper-V
NVIDIA Spectrum
Arista ACE

Job description

Acuative Middle East seeks an experienced Network Consulting Engineer to design and optimize next-generation data center networks for AI/ML workloads, GPU clusters, and hyperscale infrastructure.

Role requires hands-on VXLAN EVPN, BGP, RoCEv2, RDMA, Cisco Nexus, Arista EOS expertise and fabric-based architectures to deliver low-latency, scalable networks for AI training and large-scale compute environments.

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