Sr. Principal Architect

We are seeking a Senior Principal Architect, Presales Engineering for the HPE Networking Service Provider organization.

Systems engineering is about building the future.

Our sales organization is comprised of 10,000+ professionals in presales, service, and support functions.

Together with our partners, we deliver global, commercial, public sector & small/medium business customers.

We're transforming businesses.

Join us to redefine what's next for you.

Contribute to the design and execution of "AI Grid" initiatives, working alongside distinguished architects to help Service Providers build high-performance compute and networking fabrics for distributed AI workloads.

Design low-latency networking architectures to support Inferencing at the Edge, enabling SPs to deliver AI services closer to the end-user with minimal jitter and strong throughput.

Articulate the value of specialized AI/ML networking, including the deployment of RDMA over Converged Ethernet (RoCEv2) and InfiniBand-to-Ethernet transitions within the Modern Datacenter.

Participate in the architecture of end-to-end Networking Infrastructure supporting both the Front-end (management/client) and Back-end (GPU-to-GPU) AI clusters.

Advise Sales Engineers and partners on the transition from traditional SP routing to AI-Optimized WAN and Fabric solutions, helping customers meet their requirements for scale and predictive analytics.

Engage with Silicon providers, AI software innovators, and Integrators to address emerging AI-scale challenges across multi-tenant environments.

Design solutions that address Job Completion Time (JCT) metrics relevant to AI training customers, working within established architectural frameworks.

In complex Networking Infrastructure deals, support the end-to-end technical solution by collaborating with Distinguished Technologists, Specialists, and Product Management to deliver well-integrated responses.

Deliver Demos and Proof of Concept engagements and clearly articulate the value proposition aligned to specific customer use cases.

Build relationships with technical decision makers and senior engineering leaders within key customer accounts, supporting smooth knowledge transfer to delivery teams.

Contribute to the sizing, design, configuration, and pricing of technical solutions using industry best practices and established frameworks.

Solid experience designing networks for AI clusters, with working knowledge of lossless Ethernet, congestion control algorithms (PFC, ECN), and load-balancing techniques specific to AI traffic patterns.

Familiarity with MEC (Multi-access Edge Computing) and its intersection with AI inferencing models and 5G transport.

12+ years of experience in Network Infrastructure Design, with at least 2-3 years focused on Hyperscale Datacenter or Cloud-Scale SP architectures.

Hands-on experience with JunOS, EOS, or IOS (certifications preferred), with working knowledge of EVPN-VXLAN, Segment Routing (SRv6), and telemetry-driven automation.

Ability to connect hardware (GPU/NIC/Switch) and software (AI Frameworks, Kubernetes, Virtualization) considerations to support a cohesive AI Fabric design.

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