Pre-sales Solution Architect (ai)

F5 F5 · Enterprise · London, United Kingdom

F5 is seeking an AI Solutions Architect to support sales of F5 technology in AI Data Center Infrastructures and AI Applications. This senior pre-sales role involves collaborating with sales to identify opportunities, providing technical expertise on AI application delivery and security, and acting as a customer trust advisor and evangelist within the AI ecosystem. The role requires understanding AI application architectures, infrastructure, security, and storage, and using AI tools for various tasks.

What you'd actually do

  1. Identify and work on strategic opportunities within AI Infrastructure and AI applications technology area and provide technical expertise to embed F5 technology within these opportunities.
  2. Play the role of an evangelist and thought leader in the AI technology and business area.
  3. Collaborate with other Solution Architects and internal business leaders to share ideas, identify common customer pain points and industry trends, and identify appropriate F5 solutions.
  4. Advocate for customer needs, high-value everyday use cases, and innovative ideas from the field with product management and services teams.
  5. Work closely with our internal Product Management and services teams and provide technical and business feedback for product design, architecture, launches, and updates that would benefit our customers.

Skills

Required

  • AI Data Center Infrastructures
  • AI Applications
  • AI application delivery and security
  • customer trust advisor and champion in the AI technology ecosystem
  • AI technology and ecosystem
  • AI application delivery and security
  • AI technology ecosystem
  • AI application architectures and components, including Large Language Models, Orchestrators, Agents, and Tools
  • AI infrastructure and data center network designs and reference architectures
  • AI App security ecosystem and challenges
  • Storage technologies, designing architectures for efficient data delivery, in the context of AI training, fine tuning and inference
  • cloud-native application design patterns (Kubernetes, APIs, micro-services, service mesh, and more)
  • business outcome-focused architecture

Nice to have

  • F5 products
  • Nvidia reference architectures
  • Advanced usage of AI tools (chatbots, agents…) for content search, content analysis, content generation, task automation and potentially vibe coding.

What the JD emphasized

  • AI Data Center Infrastructures
  • AI Applications
  • AI application delivery and security
  • customer trust advisor and champion in the AI technology ecosystem
  • AI technology and ecosystem
  • AI application delivery and security
  • AI technology ecosystem
  • AI application architectures and components
  • AI infrastructure and data center network designs
  • AI App security ecosystem
  • AI training, fine tuning and inference

Other signals

  • AI Data Center Infrastructures
  • AI Applications
  • AI application delivery and security
  • customer trust advisor and champion in the AI technology ecosystem