Job DescriptionJob Description:
nReference 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.
nAdversarial Defense: 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.
nData 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.
nMLOps/LLMOps Guardrails: Embed automated security testing (red teaming, static/agile analysis for ML code, output validation, shadow AI discovery) directly into CI/CD and MLOps pipelines
nPeople Management: Direct, mentor,



and build a high-performing team of AI Security Engineers and Security Architects.
nStrategic Roadmap: Define the enterprise AI Security strategy, establishing metrics (KPIs/KRIs) to track risk reduction without impeding development velocity.
nFramework Mapping: Map internal security controls to established standards including NIST AI RMF, ISO/IEC 42001, OWASP Top 10 for LLMs, and MITRE ATLAS.
nCross-Functional Collaboration: 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).
nExecutive Advisory: Serve as the subject matter expert on emerging AI risks for the CISO, CTO, and executive risk boards.
nExperience: 11-16 years of experience.

📌 Product Security Architect (Vasanthanagar)
🏢 Flipkart
📍 Vasanthanagar