Location

Bangalore,IND

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

- Solid 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

Time Type:

Full time

Employee Type:

Assignee / Regular

Travel:

Yes, 10% of the Time

Relocation Eligible:

Yes

📌 AI Data Protection Specialist (Bengaluru)
🏢 Applied Materials
📍 Bengaluru