Palo Alto Networks
Sr Domain Consultant (AI Security)
$233K–$320K
Dallas, Texas +10 · Yes · Senior · Full-time · Posted Oct 16, 2026
- Location
- Dallas, Texas
Denver, United States of America
Kansas City, Missouri
Nashville, United States of America
Minneapolis, United States of America
Santa Clara, United States of America
Charlotte, United States of America
Boston, United States of America
Seattle, United States of America
Atlanta, United States of America
New York City, United States of America - Experience
- 6+ years of pre-sales experience in AI Security, Cloud Security, Application/API Security, or DevSecOps.
- Visa sponsorship
- No immigration sponsorship; will not sponsor applicants for work visas.
About the job
Provides technical expertise and customer guidance for securing enterprise AI adoption, including AI agents, applications, data, and AI traffic.
What you'll do
- Lead hands-on Proof of Value projects, technical validations, tailored demos, and solution architecture design for AI security.
- Advise customers and executives on AI threats and security solutions; support RFIs/RFPs and position Prisma AIRS against alternatives.
- Share customer feedback with Product Management and Engineering to inform the Prisma AIRS roadmap.
What they ask for
- 6+ years of pre-sales experience in AI Security, Cloud Security, Application/API Security, or DevSecOps.
- Ability to work with LLM APIs, write scripts, and prototype agentic workflows or security routines across cloud-native platforms and REST APIs.
- Deep knowledge of AI Runtime Security, Generative AI risks, AI Agent/MCP governance, and AI-focused Data Loss Prevention (DLP).
- Proven enterprise pre-sales problem-solving and ability to communicate complex AI architectures to executives and technical audiences; proficient in English.
Pay
$232,800.00 - $320,100.00 USD/yr; annual base salary + commission target for sales/commissioned roles
Tools
LLM APIs, AWS, Azure, GCP, K8s, REST APIs, RAG, Prisma AIRS
AI focus
Secures AI adoption, including AI traffic, supply chains, governance, autonomous agents, applications, and enterprise data; demonstrates real-time AI threat prevention, DLP, agent governance, and supply chain security.
Model-written summary · the original posting is authoritative