Ai Security Engineer

Applied Materials

Austin, TX, US
Base: $108,000.00 - $148,500.00; bonus/equity: eli...
10+ years in security architecture or application security
Experience securing ai/ml or llm-based systems
Strong background in threat modeling and secure design
The AI Security Engineer is responsible for securing the enablement and use of AI, GenAI, LLM, and agentic technologies across the enterprise while balancing business velocity with protection of intellectual property

Job Summary

  • The AI Security Engineer is responsible for securing the enablement and use of AI, GenAI, LLM, and agentic technologies across the enterprise while balancing business velocity with protection of intellectual property.
  • This role drives AI security governance, risk management, technical guardrails, and operational oversight for AI systems from intake and design through deployment and incident response.
  • Applied Materials offers a supportive work culture that encourages learning and growth, along with comprehensive benefits including salary ranges between $108,000.00 and $148,500.00.

Matching Summary

The AI Security Engineer is responsible for securing the enablement and use of AI, GenAI, LLM, and agentic technologies across the enterprise while balancing business velocity with protection of intellectual property.

Salary

Base: $108,000.00 - $148,500.00; Bonus/Equity: Eligible for bonus and stock award program; Benefits: Comprehensive benefits package including health and wellbeing programs

Skills & Requirements

Must-have

  • 10+ years in security architecture or application security
  • Experience securing AI/ML or LLM-based systems
  • Strong background in threat modeling and secure design
  • Ability to read and review Python or TypeScript code
  • Hands-on experience with AI tooling and agent frameworks

Nice-to-have

  • Prior software engineering or platform engineering background
  • Familiarity with AI governance frameworks
  • Experience with red teaming and detection engineering
  • Ability to build security programs with clear KPIs
  • Executive-level communication skills

Key Requirements

  • 10+ years in security architecture, application security, or cloud/platform security
  • Demonstrated experience securing AI/ML or LLM-based systems in enterprise environments
  • Strong background in threat modeling, secure design, and risk management

Work Rights

Not specified

Tailored Resume

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