Pre-sales Solution Architect (ai)

F5 F5 · Enterprise · Paris, France +2

F5 is seeking an AI Solutions Architect to support sales of their technology in AI Data Center Infrastructures and AI Applications. This senior pre-sales role involves collaborating with sales to identify opportunities, provide technical expertise on F5 solutions in the context of AI, and act as a customer trust advisor and evangelist within the AI technology ecosystem. The role requires understanding AI application architectures, infrastructure, security, and storage, and leveraging 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

  • Experience playing the role of an evangelist, thought leader, and mentor in the field of AI
  • Liaison between Sales and Marketing, Product Management, Product Engineering.
  • Experience working with strategic business opportunities
  • Experience in AI best practices, technology landscape, and ecosystem
  • Knowledge of AI application architectures and components, including Large Language Models, Orchestrators, Agents, and Tools
  • Knowledge of AI infrastructure and data center network designs and reference architectures
  • Knowledge of current AI App security ecosystem and challenges
  • Knowledge of Storage technologies, designing architectures for efficient data delivery, in the context of AI training, fine tuning and inference
  • Advanced usage of AI tools (chatbots, agents…) for content search, content analysis, content generation, task automation and potentially vibe coding
  • Knowledge of cloud-native application design patterns (Kubernetes, APIs, micro-services, service mesh, and more)
  • Advanced knowledge of business outcome-focused architecture, engineering

Nice to have

  • Familiarity with F5 products
  • Knowledge of Nvidia reference architectures will be preferred

What the JD emphasized

  • AI Data Center Infrastructures
  • AI Applications
  • AI application delivery and security
  • AI technology ecosystem
  • AI application architectures and components
  • AI infrastructure and data center network designs
  • AI App security ecosystem
  • Storage technologies, designing architectures for efficient data delivery, in the context of AI training, fine tuning and inference.