Palo Alto Networks

Domain Consultant (AI Security)

Denver, CO, US$198,000-$273,000Posted 1 month ago

Job Description

Denver, Colorado, United States of America Sales Ref ID: JR-020298

Our Mission

At Palo Alto Networks®, we’re united by a shared mission—to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking. Here, everyone has a voice, and every idea counts. If you’re ready to do the most meaningful work of your career alongside people who are just as passionate as you are, you’re in the right place.

Who We Are

In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us!

This role is remote, but distance is no barrier to impact. Our hybrid teams collaborate across geographies to solve big problems, stay close to our customers, and grow together. You will be part of a culture that values trust, accountability, and shared success where your work truly matters. Job Summary

### Your Career

As a Prisma AIRS business unit aligned Domain Consultant for AI Security, you provide technical expertise and guidance in securing customers' end to end AI adoption. You will define technical solutions that secure customer’s AI controlled autonomous agents, applications, and enterprise data. You evangelize our industry leadership in AI security by means of securing AI traffic, AI supply chain, and AI governance.

### Your Impact

* 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 prevent

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