Senior Network Architect – AI Infrastructure & Data Center Networks

Position Overview
We are seeking a highly experienced Senior Network Architect to lead the design, architecture, and evolution of large-scale AI/ML, data center, and backbone network infrastructure. The ideal candidate will have deep expertise in high-performance networking, multi-terabit WAN architectures, EVPN/VXLAN fabrics, network automation, and cloud-scale infrastructure supporting AI workloads.
 
Key Responsibilities
·        Design and architect large-scale AI/ML data center networks and high-capacity WAN infrastructure.
·        Lead deployment of EVPN/VXLAN fabrics supporting GPU clusters and AI training environments.
·        Drive network scalability, reliability, performance, and automation initiatives across global infrastructure.
·        Design and optimize low-latency, high-throughput networks supporting RDMA/RoCE workloads.
·        Develop network automation solutions using Python, Ansible, Terraform/OpenTofu, and CI/CD pipelines.
·        Define network standards, operational processes, observability frameworks, and reliability best practices.
·        Collaborate with infrastructure, cloud, systems, and AI engineering teams on strategic architecture initiatives.
·        Lead troubleshooting and performance optimization for large-scale production environments.
·        Mentor engineers and contribute to technical leadership, documentation, and architecture reviews.
 
Required Qualifications
·        15+ years of experience in Network Architecture, Network Engineering, or Network Reliability Engineering.
·        Deep expertise with:
o   BGP, OSPF, IS-IS, MPLS
o   EVPN/VXLAN
o   Data Center Networking
o   WAN and Backbone Architecture
o   AI/ML Infrastructure Networking
o   Network Performance and Capacity Planning
·        Strong experience with Juniper, Arista, Cisco, and multi-vendor environments.
·        Hands-on experience with Linux administration and network automation.
·        Strong scripting/programming skills in Python, Go, Bash, or similar languages.
·        Experience with Infrastructure-as-Code and automation frameworks (Ansible, Terraform/OpenTofu, Pulumi).
·        Experience building highly available, scalable cloud and data center networks.
 
Preferred Qualifications
·        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 similar.
·        Exposure to AWS, Google Cloud Platform, and hybrid cloud networking architectures.
·        Experience leading architecture reviews and cross-functional infrastructure programs.
 
Nice to Have
·        Experience with large-scale hyperscaler environments.
·        Participation in industry organizations such as NANOG, RIPE, or Internet Society.
·        Background supporting multi-terabit AI or research infrastructure environments.
 
Ideal Candidate: strong network architecture background, AI/ML data center networking experience, EVPN/VXLAN expertise, automation-first mindset, and proven success operating at hyperscale environments such as Meta, Microsoft, Adobe, or similar organizations.