NVIDIA AI Infrastructure Global Architect

F5•San Jose, CA

1d•$290,300 - $435,500

About The Position

NVIDIA AI Infrastructure Global Architect serves as a senior technical leader, industry strategist, and trusted advisor for customers building next-generation AI platforms. Operating at the intersection of AI infrastructure, networking, security, and business transformation, this role partners with strategic sales, product, engineering, and leadership teams to accelerate customer adoption of F5 solutions within NVIDIA-powered AI environments. F5 is transforming how organizations deliver, secure, and operate modern applications and AI infrastructure. BIG-IP Next for Kubernetes (BNK) is F5's cloud-native platform for Kubernetes networking, application delivery, and security. As AI Factories rapidly scale across Neoclouds, AI-Native Platforms, Hyperscalers, and Foundation Model providers, F5 is building a specialized team of industry experts to shape the future of AI infrastructure.

Requirements

12+ years of experience in Solutions Architecture, Technical Consulting, Systems Engineering, Platform Engineering, Infrastructure Architecture, or related customer-facing technical leadership roles.
5+ years of experience working with cloud-scale infrastructure, AI/ML platforms, high-performance computing (HPC), or GPU-accelerated environments.
Demonstrated experience engaging senior technical decision makers and customer stakeholders.
Deep expertise in Kubernetes, cloud-native architectures, container networking, and application delivery technologies.
Strong knowledge of data center networking, including Layer 2-7 technologies, BGP, EVPN, VXLAN, RDMA, and high-performance fabrics.
Experience designing solutions involving NVIDIA AI infrastructure, BlueField DPUs, GPU networking, DOCA, or related ecosystem technologies.
Proven ability to influence technical strategy across customers, partners, and internal stakeholders.
Exceptional communication, presentation, and senior stakeholder engagement skills.

Nice To Haves

Experience working directly with NVIDIA, hyperscalers, AI-native platforms, or GPU cloud providers.
Familiarity with AI Factory architectures, large language model (LLM) deployment environments, and distributed AI training infrastructure.
Experience developing technical business cases and technology transformation strategies.
Public speaking experience at industry conferences, technical forums, or customer briefings.
Knowledge of AI infrastructure security, multi-tenancy, workload isolation, and data sovereignty requirements.

Responsibilities

Serve as the AI Infrastructure Thought Leader, acting as F5's senior technical authority for NVIDIA-based AI Factories, GPU clouds, and large-scale AI infrastructure.
Provide strategic guidance to customers on AI platform architecture, scalability, networking, security, and operational excellence.
Influence customer technology roadmaps through technical advisory engagements and architecture strategy sessions.
Engage Senior Technical Stakeholders by building trusted relationships with Architects, platform engineering leaders, infrastructure leaders, technical decision makers, and senior customer stakeholders.
Translate complex technical challenges into measurable business outcomes, helping customers optimize AI investments and accelerate time-to-value.
Lead technical workshops and strategic discussions around AI infrastructure modernization.
Drive Technical Strategy and Business Growth by partnering closely with Account Executives, Strategic Sales Leaders, and Alliance Teams to develop account strategies and technical win plans.
Support large, strategic opportunities by aligning F5 and NVIDIA technologies to customer initiatives.
Shape business cases that demonstrate the value of secure, scalable, high-performance AI infrastructure.
Architect AI Factory Solutions by designing and validating architectures for AI Factories, GPU-as-a-Service platforms, Kubernetes environments, and multi-tenant AI infrastructure.
Advise customers on networking, traffic management, ingress/egress, service delivery, security, and workload optimization for large-scale AI deployments.
Develop architectures leveraging NVIDIA BlueField DPUs, DOCA, GPU networking, and cloud-native application delivery platforms.
Lead Industry and Ecosystem Engagement by representing F5 at customer events, technical briefings, conferences, industry forums, and partner engagements.
Collaborate with NVIDIA field teams, alliance partners, and ecosystem stakeholders to create differentiated solutions and go-to-market strategies.
Serve as a visible thought leader through whitepapers, presentations, technical content, and industry discussions.
Influence Product and Engineering Direction by acting as the voice of the customer for AI and NVIDIA-related requirements.
Translate customer needs, competitive insights, and emerging market trends into actionable feedback for Product Management and Engineering.
Help shape future roadmap priorities for BNK and AI infrastructure solutions.
Develop Repeatable Solutions and Best Practices by creating AI Factory reference architectures, deployment models, technical playbooks, and operational frameworks.
Establish best practices for Kubernetes networking, AI workload delivery, and infrastructure security at scale.
Mentor Solutions Architects and Technical Sales teams on NVIDIA ecosystem technologies and AI infrastructure trends.