Drimva

Palo Alto Networks

Senior Enterprise AI Security Engineer

$129K–$209K

Office - USA - CA - Headquarters · No · Senior · Full-time · Posted Oct 28, 2026

Experience
5+ years of hands-on experience in enterprise security engineering, application security, cloud security, or security architecture.
Education
Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Cybersecurity, or a related STEM field, or equivalent practical experience.
Visa sponsorship
Will not sponsor applicants for work visas for this position.

About the job

Secures enterprise-wide AI adoption by identifying AI usage and risks, building automated guardrails and remediation, and assessing AI systems and infrastructure.

What you'll do

  • Inventory approved and shadow AI tools, models, APIs, and integrations across the enterprise.
  • Build automated remediation workflows, policy enforcement, and controls for AI-specific threats and data loss.
  • Assess AI applications and third-party products, and collaborate with security teams to harden AI environments and API gateways.

What they ask for

  • Demonstrated expertise in AI/ML security risks and experience implementing AI guardrails across AI assistants, coding agents, and internally built agents.
  • Proven experience building automated detection and remediation workflows.
  • Strong practical knowledge of IAM, cloud infrastructure (AWS, GCP, or Azure), endpoint security, and Data Protection/DLP.
  • Proficiency in at least one modern programming or scripting language, such as Python or Go; strong communication and cross-functional leadership skills.

Nice to have

  • Relevant cloud or security certifications, such as AWS solutions architect, Google Cloud certified - Associate, CCSP, or PCNSE.

Pay

$129,200.00 - $209,000.00 USD/yr (base salary)

Tools

AWS, GCP, Azure, Python, Go, MCP servers, OWASP Top 10 for LLMs, MITRE ATLAS

AI focus

Secures enterprise AI adoption through AI usage discovery, guardrails, remediation workflows, threat mitigation, data-loss prevention, and assessments of AI applications, agents, integrations, and products.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 5, 2026 (UTC)