Senior Enterprise AI Security Engineer

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.

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!

We believe collaboration thrives in person. That’s why most of our teams work from the office full time, with flexibility when it’s needed. This model supports real‑time problem‑solving, stronger relationships, and the kind of precision that drives great outcomes.

Palo Alto Networks protects tens of thousands of people every day from Cyber bad‑actors, but who protects Palo Alto Networks? The Palo Alto Networks Enterprise Security team has this incredible responsibility and, as a Senior Enterprise AI Security Engineer, it’s your job to protect the team so we can protect the world!

As artificial intelligence transforms enterprise operations, you will take the lead in securing AI adoption across our entire organization. In this role, you will join a critical mission, spearheading the discovery and inventory of all enterprise AI usage, uncovering shadow AI tools, models, APIs and third‑party integrations. Working closely with our Enterprise Security team, you will architect and deploy automated guardrails and remediation workflows that eliminate risk while empowering business acceleration.

• Lead the discovery, inventory and visibility efforts for all AI usage across the enterprise, systematically tracking approved systems, third‑party SaaS tools, open‑source models, developer plugins and shadow AI integrations.
• Architect, build and maintain automated remediation workflows and policy enforcement engines that mitigate AI risks without slowing engineering or business velocity.
• Design and deploy threat mitigation controls against AI‑specific vulnerabilities, such as direct and indirect prompt injection, jail breaking, training data poisoning and insecure output handling.
• Partner with Enterprise Data Protection team to design context‑aware data loss prevention (DLP) controls, preventing unauthorized data ingestion or leakage into AI model pipelines.
• Conduct assessments for AI applications, agents, integrations (including MCP servers and tool connectors) and third‑party AI products.
• Research and implement emerging AI security frameworks and tooling (e.g., OWASP Top 10 for LLMs, MITRE ATLAS, NIST AI RMF).
• Collaborate with cloud, infrastructure and application security teams to review, document and harden model hosting environments, AI workloads and API gateways

• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Cybersecurity, or a related STEM field, or equivalent practical experience.
• 5+ years of hands‑on experience in enterprise security engineering, application security, cloud security, or security architecture.
• Demonstrated technical expertise in AI/ML security risks, including prompt injection, model evasion, data poisoning, insecure model supply chains and LLM application vulnerabilities.
• Demonstrated Experience in…