AI Security Engineer

Who We Are

Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips the brains of devices we use every day. As the foundation of the global electronics industry Applied enables the exciting technologies that literally connect our world like AI and IoT. If you want to push the boundaries of materials science and engineering to create next generation technology join us to deliver material innovation that changes the world.

What We Offer

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Youll benefit from a supportive work culture that encourages you to learn develop and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possiblewhile learning every day in a supportive leading global company. Visit our Careers website to learn more.

At Applied Materials we care about the health and wellbeing of our employees. Were committed to providing programs and support that encourage personal and professional growth and care for you at work at home or wherever you may go. Learn more about our benefits.

Role Summary

The AI Security Engineer is responsible for securing the enablement and use of AI GenAI LLM and agentic technologies across the enterprise balancing business velocity with protection of Applied Materials intellectual property sensitive data and customer trust.

This role drives AI security governance risk management technical guardrails and operational oversight for AI systems and AIintegrated applications across the full lifecyclefrom intake and design through deployment monitoring and incident response. The role serves as a key focal point for AI security execution in the US and partners closely with global counterparts and crosspillar security teams to deliver scalable measurable and auditable AI security controls.

Key Responsibilities

Technical Mindset & Operating Style

• Highly technologysavvy and continuously current on rapidly evolving AI/LLM platforms agent frameworks developer tooling and emerging attack techniques through handson experimentation and learning.
• Brings strong engineering intuition through prior software development experience or equivalent handson technical background enabling effective architecture reviews threat modeling and pragmatic security guidance.
• Comfortable reading writing and reviewing code (e.g. Python TypeScript or similar) to understand AI workflows model integrations APIs pipelines and realworld failure modes.
• Practical experience experimenting with AI tooling copilots agents and vibecoding workflows with an understanding of how developers prototype iterate and ship AIenabled systems.
• Able to translate modern developer behaviors (promptdriven development agent orchestration rapid iteration) into realistic enforceable security controls rather than theoretical policy.
• Uses technical credibility to influence engineering teams accelerate adoption of secure AI patterns and ensure security enablesrather than blocksinnovation.

AI Security Governance & Intake

• Own enterprise AI discovery inventory and intake workflows covering AI use cases models tools agents and integrations
• Define and enforce AI risk tiering and classification (data sensitivity model risk autonomy level exposure)
• Partner with AI Governance Legal Privacy and Risk teams to establish approval exception and waiver processes
• Ensure AI security controls align with enterprise risk management and audit expectations

AI Threat Modeling & Risk Management

• Lead AIspecific threat modeling including prompt injection data leakage model poisoning tool abuse agentic risk and supplychain threats
• Define secure AI architecture patterns and prohibited design patterns
• Conduct and oversee risk assessments for LLMintegrated applications internal copilots and external AI services
• Track AI security risks and exceptions through remediation and closure

Technical Controls & Guardrails

• Define and operationalize AI security guardrails including:
  • Authentication and authorization for AI systems
  • Data boundaries retention and usage controls
  • Output/content controls and policy enforcement
  • Identity secrets and key management for AI workloads
• Lead security requirements for agent frameworks MCP servers/clients AI gateways and proxies
• Partner with AppSec and Platform teams to deliver secure pavedroad AI solutions for engineering teams

Secure AI Lifecycle Testing & Monitoring

• Establish secure AI lifecycle gates (preprod prod postdeployment)
• Own AI security testing and validation including red teaming abuse testing and guardrail effectiveness
• Define requirements for telemetry audit logging and retention for AI sessions tool calls and memory usage
• Integrate AI signals into SIEM detection and incident response workflows

Incident Response & Continuous Improvement

• Own AIspecific detection use cases and alerting strategies
• Partner with IR teams to develop and maintain AI incident response posture and integration with SIEM tools
• Lead postincident reviews and drive control improvements
• Publish executive and operational AI security metrics and dashboards

Required Qualifications

• 10 years in security architecture application security cloud/platform security or related fields
• Demonstrated experience securing AI/ML or LLMbased systems in enterprise environments
• Strong background in threat modeling secure design and risk management
• Experience working crossfunctionally with engineering product legal and compliance teams
• Strong written and verbal communication skills including executivelevel communication

Preferred Qualifications

• Prior experience as a software engineer platform engineer or security engineer with significant coding responsibilities
• Experience with AI governance frameworks or enterprise risk management programs
• Familiarity with security testing red teaming and detection engineering
• Experience building security programs with clear KPIs metrics and audit readiness

Additional Information

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Relocation Eligible:

The salary offered to a selected candidate will be based on multiple factors including location hire grade job-related knowledge skills experience and with consideration of internal equity of our current team addition to a comprehensive benefits package candidates may be eligible for other forms of compensation such as participation in a bonus and a stock award program as applicable.

For all sales roles the posted salary range is the Target Total Cash (TTC) range for the role which is the sum of base salary and target bonus amount at 100% goal achievement.

Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race color national origin citizenship ancestry religion creed sex sexual orientation gender identity age disability veteran or military status or any other basis prohibited by law.

In addition Applied endeavors to make our careers site accessible to all users. If you would like to contact us regarding accessibility of our website or need assistance completing the application process please contact us via e-mail at or by calling our HR Direct Help Line at option 1 and following the prompts to speak to an HR Advisor. This contact is for accommodation requests only and cannot be used to inquire about the status of applications.