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Niche senior AI-security role in Delhi NCR reduces applicant density despite metro location.
Role demands deep AI-security and AppSec expertise, limiting cross-industry transferability.
Mandatory 8+ years, specific AI and AppSec expertise, and cloud/Azure preference enforce strict filters.
Lead development and maintenance of enterprise AI Security Program, including policies, frameworks, and practical controls for AI applications and integrations.
Perform AI security risk assessments, threat modeling, security testing, and coordinate AI-specific incident response to ensure compliance with legal, regulatory, and organizational standards.
Support and backup Application Security operations including secure SDLC reviews, vulnerability management, and developer education with a focus on integrating AI security into existing AppSec practices.
8+ years of cybersecurity engineering experience with meaningful Application Security experience.
Recent hands-on experience securing generative AI, LLM-based systems, AI agents, or AI-enabled SaaS/internal applications.
Strong technical expertise in secure application/API design, IAM, cloud security (Azure preferred), software supply chain risk, and secure SDLC.
Work Experience Required: 8+ years in cybersecurity engineering
Experienced in building AI security programs combining AI domain expertise with mature Application Security capabilities and governance knowledge.
Able to translate AI and Application Security risks into deployable controls, policies, and engineering guidance across complex AI architectures (RAG, agentic workflows, MCP).
Familiar with AI security tooling, threat modeling, runtime guardrails, and compliance frameworks such as NIST AI RMF, and comfortable working cross-functionally with engineering, IT, cyber, and GRC teams.