Reference Architectures: Design and enforce target-state security architectures for cloud-native, on-premise, and SaaS-based AI/ML deployments, including LLM integration patterns, retrieval-augmented generation (RAG) pipelines, and agentic workflows.

Establish security controls against AI-specific attack vectors, including prompt injection, jailbreaking, training data poisoning, model inversion/extraction, membership inference, and supply-chain vulnerabilities in open-source models/libraries.

Data Security & Privacy: Design zero-trust data boundaries, differential privacy techniques, and strict identity & access management (IAM) controls for training datasets, vector databases, and inferencing endpoints.

Embed automated security testing (red teaming, static/energetic analysis for ML code, output validation, shadow AI discovery) directly into CI/CD and MLOps pipelines

People Management: Direct, mentor,



and build a high-performing team of AI Security Engineers and Security Architects.

Define the enterprise AI Security strategy, establishing metrics (KPIs/KRIs) to track risk reduction without impeding development velocity.

Framework Mapping: Map internal security controls to established standards including NIST AI RMF , ISO/IEC 42001 , OWASP Top 10 for LLMs , and MITRE ATLAS .

Partner closely with Data Science, ML Engineering, Enterprise Architecture, Legal, and Compliance teams to operationalize Responsible AI and privacy requirements (e.g., EU AI Act, GDPR).

Serve as the subject matter expert on emerging AI risks for the CISO, CTO, and executive risk boards.

Experience : 11-16 years of experience.

📌 Senior Cyber Security Architect (Bengaluru)
🏢 Flipkart
📍 Bengaluru