AI Security Engineer

Applied Materials

Quick summary

Work type
On-site
Location
Santa Clara, CA · Austin, TX
Salary
$108,000–$148,500 / yr
Posted
86 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $195k
This role $128k
$92k most similar roles pay here $261k

This role pays less than 90% of similar roles. Most pay $146,300–$244,287 — the shaded band above. At the midpoint, this role pays about $128k versus about $195k for comparable roles.

Based on 240 similar postings.

Employer

About Applied Materials

Applied Materials is the world''s largest supplier of equipment, services, and software for the semiconductor and display industries, enabling the production of chips and advanced displays. Industry: Semiconductor Equipment

Applied Materials currently has 56 open roles on FindRole.

Listed pay typically runs $135,750–$186,750 across 56 roles with salary data.

Most-posted roles

View all roles at Applied Materials

At a glance

TL;DR · AI Security Engineer

The AI Security Engineer at Applied Materials is a senior-level position within the security team, responsible for safeguarding the use of advanced technologies like AI and GenAI across the enterprise. This role involves driving AI security governance, risk management, and operational oversight throughout the technology lifecycle, from design to deployment and monitoring. The ideal candidate will have extensive experience in securing AI/ML systems and a strong background in threat modeling and risk management. They should be proficient in technologies such as Python or TypeScript, and capable of translating developer behaviors into practical security controls. Additionally, the role requires collaboration with cross-functional teams including engineering, legal, and compliance to establish scalable and auditable security measures for secure AI development and deployment at enterprise scale.

What you'll do

  • Own enterprise AI discovery, inventory, and intake workflows.
  • Lead AI-specific threat modeling and risk assessments for LLM-integrated applications.
  • Define and operationalize technical controls like authentication and data boundaries for AI systems.
  • Establish secure AI lifecycle gates and own security testing and validation processes.
  • Partner with incident response teams to develop AI-specific detection use cases and alerting strategies.

What we're looking for

  • 10+ years of experience in security architecture, application security, or cloud/platform security.
  • Demonstrated expertise in securing AI/ML and LLM-based systems within enterprise environments.
  • Proven track record in threat modeling, secure design principles, and risk management practices.
  • Extensive cross-functional collaboration with engineering, product, legal, and compliance teams.
  • Strong communication skills for both technical and executive audiences.
  • Hands-on experience as a software engineer or security engineer with significant coding responsibilities.
  • Familiarity with AI governance frameworks and enterprise risk management programs.

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