Sr. Tme for AI Security, Waap and Automation

F5 F5 · Enterprise · San Jose, CA +1

Senior Technical Marketing Engineer (TME) focused on AI security, WAAP, and DevSecOps. This role involves creating technical content, product evangelism, and enablement initiatives, with a primary focus on AI-driven defenses for LLMs and agentic models, API security, and DevSecOps workflows. The TME will design and implement lab environments, create demo kits and enablement playbooks, and author in-depth content, presentations, and tools to showcase F5's AI security solutions like F5 AI Guardrails and AI Red Teaming. The role requires adaptability to broader F5 solutions and deployment models.

What you'd actually do

  1. Design and implement scalable lab environments (hardware-based, virtual, and cloud-native) for demonstrating AI security scenarios, API protection use cases, and DevSecOps workflows, including extensive demo setups and vulnerable app development to simulate real-world threats.
  2. Create demo kits, sample configurations, enablement playbooks, and agentic AI tools focused on AI security (e.g., F5 AI Guardrails, AI Red Teaming, LLM Model Security and Observability, Secure AI Model Inferencing, Shadow AI Detection and Mitigation), WAAP, and DevSecOps engineering (e.g., GitHub automation for CI/CD pipelines).
  3. Author and publish in-depth content, including configuration guides, solution briefs, demo videos, blog posts, interactive dashboards, branded reports, and web-based tools that highlight AI security innovations (e.g., red teaming simulations), API security best practices (e.g., guided by OWASP API Security and OWASP LLM), and DevSecOps efficiencies (e.g., automated tool development).
  4. Deliver engaging presentations at customer briefings, partner workshops, industry events, and analyst sessions, translating complex AI/ML integrations, API vulnerabilities, and DevSecOps processes into business value.
  5. Build automated, scalable test/demo frameworks using Python, Terraform, Ansible, GitHub automation, and AI/ML tools to streamline AI security validations, API protection workflows, and operational intelligence.

Skills

Required

  • Technical content creation
  • Product evangelism
  • Enablement initiatives
  • AI security
  • WAAP
  • DevSecOps
  • Deep technical expertise
  • Creative storytelling
  • Lab environment design and implementation
  • Demo kit creation
  • Enablement playbook development
  • Agentic AI tools development
  • Python
  • Terraform
  • Ansible
  • GitHub automation
  • AI/ML tools
  • Customer briefings
  • Partner workshops
  • Industry events
  • Analyst sessions
  • Application delivery
  • Application security
  • Platform orchestration
  • XOps integrations
  • Hardware deployment
  • Virtual deployment
  • Cloud-native deployment
  • Hybrid deployment
  • Multi-cloud deployment
  • MITRE ATT&CK
  • MITRE ATLAS for AI threats

Nice to have

  • Experience with BIG-IP, NGINX, F5 Distributed Cloud (XC)
  • Familiarity with OWASP API Security

What the JD emphasized

  • AI security
  • AI Guardrails
  • AI Red Teaming
  • LLM Model Security and Observability
  • Secure AI Model Inferencing
  • Shadow AI Detection and Mitigation
  • DevSecOps engineering
  • API security
  • OWASP LLM

Other signals

  • AI security
  • protecting LLMs
  • AI Guardrails
  • AI Red Teaming
  • Secure AI Model Inferencing
  • Shadow AI Detection and Mitigation
  • LLM Model Security and Observability