NVIDIA AI Infrastructure Global Architect
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Job description
The 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.
What You’ll Do
Serve as the AI Infrastructure Thought Leader
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Act as F5’s senior technical authority for NVIDIA-based AI Factories, GPU clouds, and large-scale AI infrastructure.
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Provide strategic guidance to customers on AI platform architecture, scalability, networking, security, and operational excellence.
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Influence customer technology roadmaps through technical advisory engagements and architecture strategy sessions.
Engage Senior Technical Stakeholders
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Build trusted relationships with Architects, platform engineering leaders, infrastructure leaders, technical decision makers, and senior customer stakeholders.
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Translate complex technical challenges into measurable business outcomes, helping customers optimize AI investments and accelerate time-to-value.
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Lead technical workshops and strategic discussions around AI infrastructure modernization.
Drive Technical Strategy and Business Growth
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Partner closely with Account Executives, Strategic Sales Leaders, and Alliance Teams to develop account strategies and technical win plans.
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Support large, strategic opportunities by aligning F5 and NVIDIA technologies to customer initiatives.
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Shape business cases that demonstrate the value of secure, scalable, high-performance AI infrastructure.
Architect AI Factory Solutions
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Design and validate architectures for AI Factories, GPU-as-a-Service platforms, Kubernetes environments, and multi-tenant AI infrastructure.
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Advise customers on networking, traffic management, ingress/egress, service delivery, security, and workload optimization for large-scale AI deployments.
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Develop architectures leveraging NVIDIA BlueField DPUs, DOCA, GPU networking, and cloud-native application delivery platforms.
Lead Industry and Ecosystem Engagement
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Represent F5 at customer events, technical briefings, conferences, industry forums, and partner engagements.
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Collaborate with NVIDIA field teams, alliance partners, and ecosystem stakeholders to create differentiated solutions and go-to-market strategies.
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Serve as a visible thought leader through whitepapers, presentations, technical content, and industry discussions.
Influence Product and Engineering Direction
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Act as the voice of the customer for AI and NVIDIA-related requirements.
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Translate customer needs, competitive insights, and emerging market trends into actionable feedback for Product Management and Engineering.
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Help shape future roadmap priorities for BNK and AI infrastructure solutions.
Develop Repeatable Solutions and Best Practices
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Create AI Factory reference architectures, deployment models, technical playbooks, and operational frameworks.
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Establish best practices for Kubernetes networking, AI workload delivery, and infrastructure security at scale.
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Mentor Solutions Architects and Technical Sales teams on NVIDIA ecosystem technologies and AI infrastructure trends., As the NVIDIA AI Infrastructure Global Architect, you will help shape the future of AI infrastructure and GPU cloud computing. You will work directly with the world’s largest AI innovators, hyperscalers, Neocloud providers, and enterprise AI leaders while influencing the intersection of AI, networking, security, and cloud-native infrastructure. This is a unique opportunity to serve as both a strategic advisor and technical visionary helping build the next generation of AI Factories at global scale.
Requirements
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12+ years of experience in Solutions Architecture, Technical Consulting, Systems Engineering, Platform Engineering, Infrastructure Architecture, or related customer-facing technical leadership roles.
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5+ years of experience working with cloud-scale infrastructure, AI/ML platforms, high-performance computing (HPC), or GPU-accelerated environments.
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Demonstrated experience engaging senior technical decision makers and customer stakeholders.
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Deep expertise in Kubernetes, cloud-native architectures, container networking, and application delivery technologies.
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Strong knowledge of data center networking, including Layer 2-7 technologies, BGP, EVPN, VXLAN, RDMA, and high-performance fabrics.
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Experience designing solutions involving NVIDIA AI infrastructure, BlueField DPUs, GPU networking, DOCA, or related ecosystem technologies.
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Proven ability to influence technical strategy across customers, partners, and internal stakeholders.
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Exceptional communication, presentation, and senior stakeholder engagement skills.
Preferred Qualifications
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Experience working directly with NVIDIA, hyperscalers, AI-native platforms, or GPU cloud providers.
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Familiarity with AI Factory architectures, large language model (LLM) deployment environments, and distributed AI training infrastructure.
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Experience developing technical business cases and technology transformation strategies.
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Public speaking experience at industry conferences, technical forums, or customer briefings.
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Knowledge of AI infrastructure security, multi-tenancy, workload isolation, and data sovereignty requirements.
Skills & Competencies
Technical Leadership
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Strong technical presence with the ability to advise and influence senior business and technology leaders.
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Ability to bridge strategic business objectives with complex technology solutions.
AI Infrastructure Expertise
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Deep understanding of AI Factory architecture, GPU infrastructure, Kubernetes platforms, and cloud-native networking.
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Expertise in large-scale AI workload delivery and infrastructure optimization.
Strategic Consulting
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Ability to identify customer challenges, define technology strategies, and build transformation roadmaps.
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Strong consultative and outcome-focused approach.
Ecosystem Influence
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Ability to collaborate effectively across customers, partners, alliances, sales, product management, and engineering teams.
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Strong understanding of the NVIDIA ecosystem and emerging AI infrastructure trends.
Technical Excellence
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Ability to simplify and communicate highly complex architectural concepts to both business and technical audiences.
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Proven success driving technical validation, architecture design, and strategic technology adoption.
About the company
At F5, we strive to bring a better digital world to life. Our teams empower organizations across the globe to create, secure, and run applications that enhance how we experience our evolving digital world. We are passionate about cybersecurity, from protecting consumers from fraud to enabling companies to focus on innovation.
Everything we do centers around people. That means we obsess over how to make the lives of our customers, and their customers, better. And it means we prioritize a diverse F5 community where each individual can thrive.
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., Key Differentiator of this Role: Beyond traditional Solutions Architecture responsibilities, the NVIDIA AI Infrastructure Global Architect serves as F5’s senior AI infrastructure expert, industry evangelist, strategic advisor, and NVIDIA ecosystem leader.
The Job Description is intended to be a general representation of the responsibilities and requirements of the job. However, the description may not be all-inclusive, and responsibilities and requirements are subject to change.
The annual base pay for this position is: $290,300.00 - $435,500.00
F5 maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, geographic locations, and market conditions, as well as to reflect F5’s differing products, industries, and lines of business. The pay range referenced is as of the time of the job posting and is subject to change.
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