Domain Consultant (AI Security)

Summary

Palo Alto Networks is a leader in cybersecurity, and they are seeking a Domain Consultant for AI Security. In this role, you will provide technical expertise and guidance in securing customers' AI adoption, defining solutions that protect AI-controlled applications and data.

Responsibilities

• Drive Technical Wins & PoVs: Scope, lead, and execute hands-on Proof of Value (PoV) and technical validation projects to demonstrate real-time AI threat prevention, data loss prevention (DLP), agent governance, and supply chain security in customer environments
• Executive Storytelling & Demos: Present tailored solutions and interactive demos to audiences ranging from developers and AI practitioners to CISOs and executive leadership
• Influence the Product Roadmap: Serve as the strategic voice of the customer, partnering directly with Product Management and Engineering to channel real-world field feedback into future releases of Prisma AIRS
• Architect AI Security Solutions: Design solution architectures that provide holistic AI security within the constraints of enterprise requirements
• Thought Leadership & RFx Support: Lead discussions on emerging AI threats and model vulnerabilities, serving as a subject matter expert for RFIs/RFPs
• Services & Competitive Positioning: Confidently position Prisma AIRS against market alternatives and align Palo Alto Networks or Partner services to ensure long-term value realization

Skills

• 3+ years of pre-sales experience in AI Security, Cloud Security, Application/API Security, or DevSecOps
• Hands-on AI Technical Depth: Proven ability to interact directly with LLM APIs, write scripts, and prototype agentic workflows or security routines across cloud-native platforms (AWS, Azure, GCP, K8s) and REST APIs
• Domain Expertise in AI Security: Deep knowledge of AI Runtime Security, Generative AI risks (Prompt Injection, Goal Hijacking), AI Agent/MCP governance, and AI-focused Data Loss Prevention (DLP)
• Executive Storytelling & Stakeholder Management: Exceptional ability to translate complex AI architectures (RAG, agentic workflows, model orchestration) into clear business outcomes for C-level executives and technical practitioners alike
• Consultative Problem-Solving: Demonstrated success guiding enterprise customers through complex pre-sales cycles with a results-oriented mindset
• Field Sales Readiness: Willingness to travel as needed for key in-person customer meetings and field events
• Proficient in English

Qualifications

Must Haves

• 3+ years of pre-sales experience in AI Security, Cloud Security, Application/API Security, or DevSecOps
• Hands-on AI Technical Depth: Proven ability to interact directly with LLM APIs, write scripts, and prototype agentic workflows or security routines across cloud-native platforms (AWS, Azure, GCP, K8s) and REST APIs
• Domain Expertise in AI Security: Deep knowledge of AI Runtime Security, Generative AI risks (Prompt Injection, Goal Hijacking), AI Agent/MCP governance, and AI-focused Data Loss Prevention (DLP)
• Executive Storytelling & Stakeholder Management: Exceptional ability to translate complex AI architectures (RAG, agentic workflows, model orchestration) into clear business outcomes for C-level executives and technical practitioners alike
• Consultative Problem-Solving: Demonstrated success guiding enterprise customers through complex pre-sales cycles with a results-oriented mindset
• Field Sales Readiness: Willingness to travel as needed for key in-person customer meetings and field events
• Proficient in English