AI Data Protection Specialist

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.

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Job Description

The AI Data Protection Specialist is responsible for ensuring that data used produced or influenced by AI systems is handled securely ethically and in compliance with organizational policies and regulatory requirements. This role sits at the intersection of cybersecurity data privacy and AI governance helping the organization deploy AI solutions safely and responsibly by working closely with Information Security Data Governance Legal AI Security and AI/ML teams to design controls assess risks and implement frameworks that protect sensitive information across the AI lifecycle.

The ideal candidate brings a combination of AI/ML technical understanding data protection expertise cybersecurity experience with the ability to translate AI specific data risks into actionable security controls and guardrails. specific

Key Responsibilities

• Develop and maintain AI data protection policies standards and procedures across the enterprise.
• Define and enforce policies for the protection of training data prompt data embeddings model outputs and AI-related metadata.
• Enforce data governance and protection controls for datasets used in training testing and deploying AI models.
• Maintain documentation for AI risk assessments data flows and model governance.
• Implement datahandling standards for AI systems including anonymization pseudonymization redaction tokenization and minimization techniques.
• Monitor and assess data leakage risks related to model outputs prompts finetuning data and embedded knowledge.
• Ensure protection against data leakage through AI interfaces (chat retrieval-augmented generation AI interfaces etc.).
• Establish controls to detect and respond to AI-related data incidents or model misuse or unauthorized model use.
• Perform investigations into suspicious AI activity data exfiltration attempts or anomalies in model behavior.
• Partner with Data Governance Privacy AI Security and AI/ML team to ensure compliance with privacy and retention requirements.
• Work with cloud data and application security teams to embed security into AI environments (Azure AI OpenAI AWS Bedrock GCP Vertex etc.).
• Assess third-party AI vendors APIs and tools for security posture and data-handling practices.

Technical Skillset

• Deep knowledge of data protection concepts: encryption secure enclaves RAG isolation synthetic data DLP access control frameworks data lifecycle.
• Hands-on experience with cloud AI platforms (Azure OpenAI AWS Bedrock GCP Vertex).
• Knowledge of AI-specific attack vectors (prompt injections model poisoning adversarial examples training data extraction).
• Knowledge in AI/ML concepts architecture and data pipelines.
• Knowledge of GDPR CPPA/CPPA (Canada) HIPAA PCI or equivalent data protection regulations.
• Familiarity with emerging AI regulations (EU AI Act U.S. Executive Orders on AI Canada AIDA).

Soft Skillset

• Strong analytical and risk assessment skills
• Excellent communication and documentation abilities
• Ability to work across multiple teams and stakeholder management skills
• Problem-solving mindset with attention to detail
• Understanding of ethical AI principles and responsible data
• Proactive analytical and able to drive cross-functional alignment.

Qualifications

• Bachelors in Computer Science Cybersecurity Data Science or related field.
• 510 years in security roles (AppSec Cloud Sec Data Protection or Threat Modeling).
• Experience in data protection information security & cloud platforms
• Certifications such as CISSP CIPP/E CISM CDPSE Azure/AWS security or AI ethics/AI governance badges.

Additional Information

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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.