Lead AI Security Engineer- IDP

Key Responsibilities-

1. AI Security Engineering & Architecture

•  Design and validate security controls for AI platforms, GenAI applications, LLM integrations, RAG pipelines, AI agents, model endpoints, and AI-enabled workflows.

•  Partner with engineering, platform, cloud, data, application security, and architecture teams to embed AI security requirements into design, build, deployment, and operations.

2. AI Threat Modelling, Testing & Risk Mitigation

•  Identify and assess AI-specific threats including prompt injection, jailbreaks, insecure tool use, data leakage, model extraction, poisoning, RAG abuse, agent misuse, and AI supply chain exposure.

•  Conduct AI threat modelling, adversarial testing, attack surface reviews, control gap analysis, residual risk documentation, and mitigation planning across platforms such as DATALABS, AI Foundry, Azure Cognitive Services, Databricks, and Snowflake.

3. Secure AI Controls, Monitoring & Compliance Support

•  Define and review controls for model access, prompt and response handling, sensitive data protection, identity and access, secure APIs, logging, monitoring, abuse detection, and incident readiness for AI systems.

•  Use frameworks such as OWASP Top 10 for LLM Applications, MITRE ATLAS, NIST AI RMF, Responsible AI, and EU AI Act expectations as supporting references for control alignment and audit readiness.

4. AI Security Governance, Enablement & Operational Excellence

•  Support AI cybersecurity standards, secure design patterns, assessment checklists, governance inputs, and awareness material while keeping the primary focus on practical security implementation.

•  Improve AI security metrics, risk visibility, control automation, and reusable security guidance in partnership with platform, cyber, architecture, and automation teams.