Senior Architect

Senior AI Switching Architect Hyderabad / Bangalore Founded by highly respected Silicon Valley veterans - with its design centers established in Santa Clara, California. / Our pay comprehensively beats "ALL" Semiconductor product players in the Indian market. Senior AI Switching Architect Job Title: Senior AI Switching Architect Experience Level: 15+ years We are seeking a highly experienced Senior AI Switching Architect to join our dynamic team focused on delivering cutting-edge hyperscale and AI networking solutions. In this role, you will serve as a trusted advisor to clients, developing and bridging complex technical architectures with strategic business outcomes. You will collaborate closely with sales teams, partners, and customers to architect, demonstrate, and deploy innovative networking infrastructures that power the next generation of data centers and AI workloads. The ideal candidate thrives in high-pressure environments, excels at translating intricate network designs into compelling value propositions, and possesses a proven history of closing multimillion-dollar deals in the hyperscale sector. Design and validate scalable network architectures, including IP fabrics, SDN overlays, and automation frameworks, ensuring alignment with customer business objectives such as cost optimization, performance scalability, and operational efficiency. Lead pre-sales engagements by conducting in-depth technical consultations, proof-of-concept demonstrations, and solution workshops to address customer pain points in hyperscale and AI networking. Author and review RFP/Tender responses, ensuring comprehensive coverage of technical compliance, pricing strategies, and risk mitigation to maximize win rates. Stay abreast of industry trends in merchant silicon, open networking, and AI-driven automation, positioning our solutions as market leaders through thought leadership activities like whitepapers, webinars, and conference presentations. Build and nurture long-term relationships with C-level executives, CTOs, and network architects at Fortune 500 hyperscalers, cloud providers, and enterprise clients. Core Technical Depth: 15+ years of hands-on experience in Hyperscale/AI Networking Infrastructure, IP routing protocols (e.g., BGP, OSPF, IS-IS), and Ethernet switching technologies for AI Networking like UALink, Ultra Ethernet. This includes architecting and deploying large-scale networks for global service providers and cloud operators, with expertise in: Network Design and Operations: Designing and operationalizing expansive IP/MPLS-based networks across Core, Access, Metro, and Edge domains, incorporating MPLS Traffic Engineering (MPLS-TE) for optimized path selection and bandwidth utilization. Datacenter Fabrics: Engineering hyperscale AI center IP Fabrics, EVPN/VXLAN-based overlays for multi-tenancy, and Data Center Interconnect (DCI) solutions to enable seamless workload mobility and hybrid cloud integrations. Strong understanding of Cisco, Juniper edge routing, universal routing, packet transport, and data center switching series, including their architectural advantages in high-density, low-latency environments. Equivalent experience with competitors (e.g., Juniper MX/PTX/QFX, Cisco NCS, Arista 7000 series) is essential for competitive analysis. Expert-level familiarity with networking ASICs such as Broadcom's Trident/Tomahawk series for cost-effective switching or Nokia's Jericho for programmable routing, including feature comparisons (e.g., Hands-on experience with network provisioning tools like Juniper Apstra for intent-based networking or Paragon Automation for closed-loop operations, including integration with competitive equivalents (e.g., Monitoring and Telemetry: Proficiency in modern manageability standards such as NETCONF for configuration management, REST APIs for programmatic access, YANG data modeling, and streaming telemetry for real-time analytics to enable proactive issue resolution. Experience scaling virtualized network functions (VNFs) on x86 platforms using DPDK for user-space packet processing, SR-IOV for direct device assignment, and SmartNICs (e.g., NVIDIA BlueField) for offloading AI workloads. Open Networking Ecosystem: Practical deployment of whitebox switches with open-source software stacks like SONiC (Microsoft's NOS) and FRR (Free Range Routing) for disaggregated, cost-optimized architectures. Extensive experience (10+ years) in pre-sales roles selling high-end networking equipment and solutions to enterprise and hyperscale customers. Exceptional oral and written communication skills are required, with a demonstrated ability to articulate how technical innovations directly address business challenges, such as reducing latency in AI training clusters or enhancing fault tolerance in distributed data centers. Track record of effectively communicating intricate technical concepts and sales strategies to diverse audiences, including non-technical executives. Documented experience crafting winning RFP/Tender submissions, encompassing technical compliance matrices, detailed bills of materials (BOMs), commercial and pricing models, high-level design documents, and executive summaries that highlight solution fit and TCO benefits. Educational Background: Advanced degree (Master's or higher) in Computer Science, Electrical Engineering, or a related technology field, or equivalent combination of education and professional experience. Leadership Experience: Formal or informal experience in technical sales leadership, such as managing a pre-sales pod or mentoring emerging talent to accelerate team performance and knowledge