Sr. Principal Architect

Hewlett-Packard

Job Description:

Senior Principal Architect, Presales Engineering Service Provider HPE Segment

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.

What You'll Do

Support AI Grid Strategy: 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.

Architect Edge AI Solutions: 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.

Optimize AI Infrastructure: 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.

End-to-End AI Design: 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.

Technical Advisory: 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.

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

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

Deal Support: 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.

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

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

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

What You Need To Bring

AI/ML Networking Expertise: 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.

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

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

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

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

Domain Expertise: Experience translating technical networking solutions into business value narratives for director and VP-level stakeholders.

Professional Presence: Strong communication skills and the ability to engage confidently with technical decision makers and senior engineering leaders in client organizations.

Sales Support: Experience contributing to RFP and Tender response documents, including bill of materials and solution documentation.

Collaboration: Demonstrated ability to work effectively with SMEs, specialists, and engineering resources within a matrixed presales environment.

Minimum Qualifications

12+ years of relevant industry experience in Cloud and Networking Infrastructure, routing, and switching domains, with hands-on knowledge in several of the following:

• Designing large-scale IP/MPLS based Access, Metro, Edge, and Core networks including MPLS Traffic Engineering
• Designing Datacenter IP Fabrics, EVPN/VXLAN Fabrics, and DCI solutions with awareness of AI/ML workload requirements
• SDN environments including Overlay protocols (MP-BGP, EVPN) and tunneling (VXLAN, MPLS, SR/SRv6)
• Merchant Silicon familiarity, including Trident, Tomahawk, and Jericho technologies
• Virtualization and Compute experience including DPDK, SR-IOV, and SmartNICs
• Open Networking exposure including white box hardware and software such as SONiC or Cumulus

Education: Bachelor's degree in technology or related field, or equivalent technical qualifications. Advanced degree is a plus.

Certifications: JNCIP, CCNP, or equivalent industry certifications preferred. JNCIE or equivalent is a strong asset.

Additional Skills & Requirements

Programming: Familiarity with APIs, Postman, JSON, and Python is an asset.

Travel: This position may involve up to 40% travel, including some international travel.

Core Competencies: Accountability, Critical Thinking, Design Thinking, Growth Mindset, and the ability to operate effectively in a fast-moving, results-oriented environment.