Distinguished Technologist, Presales Engineering

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. They are seeking a Distinguished Technologist in Presales Engineering to lead AI Grid Strategy and architect Edge AI Solutions, ensuring high-performance networking for distributed AI workloads. The role involves advising sales engineers, optimizing AI infrastructure, and building relationships with senior technical decision-makers.

Responsibilities:

• Lead AI Grid Strategy: Serve as the primary architect for "AI Grid" initiatives, helping Service Providers build interconnected, high-performance compute and networking fabrics designed specifically for distributed AI workloads
• Architect Edge AI Solutions: Design and implement low-latency networking architectures to support Inferencing at the Edge, ensuring SPs can deliver AI services closer to the end-user with minimal jitter and maximum throughput
• Optimize AI Infrastructure: Articulate the value of specialized AI/ML networking, including the orchestration of RDMA over Converged Ethernet (RoCE v2) and InfiniBand-to-Ethernet transitions within the Modern Datacenter
• End-to-End AI Design: Responsible for the architecture of end-to-end Networking Infrastructure that supports both the "Front-end" (management/client) and "Back-end" (GPU-to-GPU) AI clusters
• Strategic Advisory: Advise Sales Engineers and partners on the transition from traditional SP routing to AI-Optimized WAN and Fabric solutions, ensuring customers' business requirements for massive scale and predictive analytics are met
• Ecosystem Integration: Develop deep partnerships with Silicon providers, AI software innovators, and Integrators to solve emerging "AI-scale" problems across multi-tenant environments
• Hyperscale AI Networking: Architect and design Hyperscale solutions that specifically address "Job Completion Time" (JCT) metrics critical to AI training customers
• Complex Deal Orchestration: In complex Networking Infrastructure deals, the Distinguished Technologist will be responsible for the end-to-end technical solution & customizations, orchestrating other Specialists and Technical resources including Systems Engineers as well as Product Management
• Technical Validation: Excel in delivering Demos and Proof of Concept on solutions as well as clearly articulating the value proposition aligned to customer use cases
• Stakeholder Engagement: Build relationships with senior resources and technical decision makers with key customers to ensure smooth knowledge transfer and hand-over to the delivery team
• Solution Economics: Responsible for the sizing, design, configuration, and pricing of technical solutions, using sizing and industry best practices

Requirements:

• Proven experience designing networks for AI clusters, with a deep understanding of lossless Ethernet, congestion control algorithms (PFC, ECN), and load-balancing techniques specific to AI traffic patterns
• Technical proficiency in MEC (Multi-access Edge Computing) and how it intersects with AI inferencing models and 5G/6G transport
• 15+ years of experience in Network Infrastructure Design, with at least 3-5 years focused on Hyperscale Datacenter or Cloud-Scale SP architectures
• Working knowledge of and hands-on experience with JunOS, EOS, or IOS(certifications preferred), with specialized knowledge in EVPN-VXLAN, Segment Routing (SRv6), and telemetry-driven automation
• Ability to bridge the gap between hardware (GPU/NIC/Switch) and software (AI Frameworks, Kubernetes, Virtualization) to provide a holistic 'AI Fabric' vision
• Significant experience providing both solution and commercial leadership, specifically in translating the 'Cost of AI' into a value-based networking ROI for C-level stakeholders
• Professional with strong business acumen and the ability to build relationships with technical decision makers and C-level executives in client organizations
• Experience preparing RFP/Tender response documents, including compliance, bill of materials, and solution documents to drive a successful response
• Strong resource management skills, including how and when to effectively engage SMEs, specialists, and Engineering resources
• 10+ years relevant industry experience in Cloud/Networking Infrastructure, routing, and switching domains
• Expert-level and hands-on knowledge in multiple of the following: Designing large-scale IP/MPLS based Access/Metro/Edge and Core networks (MPLS Traffic Engineering)
• Designing large-scale Datacenter IP Fabrics, EVPN/VXLAN Fabrics, and DCI solutions optimized for AI/ML
• SDN environments including Overlay protocols (MP-BGP, EVPN) and tunneling (VXLAN, MPLS, SR/SRv6)
• Knowledge of Merchant Silicon: Understanding of Trident, Tomahawk, and Jericho technologies and their competitive positioning in AI fabrics
• Experience with virtualization on x86 and scaling via DPDK, SR-IOV, and SmartNICs
• Experience with white box hardware and related software (SONiC, Cumulus, etc.)
• Advanced degree in technology or related field preferred, or equivalent technical qualifications
• JNCIE or equivalent industry-standard certifications are highly desired
• Exposure and familiarity with APIs, Postman, JSON, and Python is desired
• This position may involve up to 50% travel, including international travel on short notice