Senior Network Architect – AI Infrastructure & Data Center Networks

Senior Network Architect AI Infrastructure & Data Center Networks
Location: Santa Clara CA (Hybrid 4 Days Onsite)
Job Type: Contract

STAFFXPERT LLC is seeking a Senior Network Architect AI Infrastructure & Data Center Networks on behalf of our client in Santa Clara CA.

We are seeking a highly experienced and technically accomplished Senior Network Architect to lead the design architecture and evolution of large-scale AI/ML data center and backbone network infrastructure. This role is ideal for an expert in high-performance networking who thrives in hyperscale environments and has a strong background in cloud-scale infrastructure supporting AI workloads.

The ideal candidate will bring deep expertise in high-capacity WAN architectures EVPN/VXLAN fabrics network automation and low-latency networking technologies designed for AI training and GPU-intensive environments.

• Design and architect large-scale AI/ML data center networks and high-capacity WAN infrastructure.

• Lead deployment and optimization of EVPN/VXLAN fabrics supporting GPU clusters and AI training environments.

• Drive initiatives focused on network scalability reliability performance and automation across enterprise-scale infrastructure.

• Design and optimize low-latency high-throughput networks supporting RDMA/RoCE workloads.

• Develop and implement network automation solutions using Python Ansible Terraform/OpenTofu and CI/CD methodologies.

• Define network standards operational frameworks observability practices and reliability engineering processes.

• Collaborate closely with infrastructure cloud systems and AI engineering teams on strategic architecture initiatives.

• Lead troubleshooting performance tuning and optimization efforts for large-scale production networks.

• Provide technical mentorship contribute to architecture reviews and support engineering best practices.

• 15 years of experience in Network Architecture Network Engineering or Network Reliability Engineering.

• Deep expertise in:

  • BGP OSPF IS-IS MPLS

  • EVPN/VXLAN

  • Data Center Networking

  • WAN and Backbone Architecture

  • AI/ML Infrastructure Networking

  • Network Performance and Capacity Planning

• Strong hands-on experience with multi-vendor networking environments including Juniper Arista and Cisco technologies.

• Experience with Linux systems administration and infrastructure automation.

• Strong scripting/programming skills in Python Go Bash or similar languages.

• Hands-on experience with Infrastructure-as-Code tools such as Ansible Terraform/OpenTofu or Pulumi.

• Proven ability to design and support highly available scalable cloud and data center networks.

• Experience supporting AI training clusters GPU fabrics or HPC environments.

• Knowledge of PTP RDMA RoCEv2 and low-latency networking technologies.

• Experience with network observability platforms such as Kentik ThousandEyes Zabbix Nagios or equivalent monitoring solutions.

• Exposure to AWS GCP and hybrid cloud networking architectures.

• Experience leading architecture reviews and cross-functional infrastructure programs.

• Experience operating within large-scale hyperscaler environments.

• Participation in industry organizations or technical communities focused on networking and infrastructure.

• Background supporting multi-terabit AI research or high-performance infrastructure environments.