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Protocol Intelligence
Data-driven signals on your job's competitivenessSenior niche AI-security role at a known multinational in Bangalore yields medium competition.
Requires deep cybersecurity and AI/LLM security specialization, so background fit sensitivity is high.
Explicit 10-year cybersecurity minimum, 3-year AI-security requirement, and specific tools imply high strictness.
Job Description
Structured overview of role & requirementsAbout This Role
Design and enforce AI large language model (LLM) guardrails and secure execution frameworks for autonomous AI agents in cloud environments.
Configure and maintain cloud security and Data Loss Prevention (DLP) policies across AWS and GCP for AI workloads.
Integrate security scanning into CI/CD pipelines and manage artifact security including AI models with AI-powered custom vulnerability detection.
Minimum Requirements
At least 10 years of cybersecurity experience, including AppSec, Cloud Security, or DevSecOps.
Minimum 3 years of hands-on AI/ML security experience focusing on LLM vulnerabilities and guardrail frameworks.
Experience with AWS and GCP security policies, IAM, and DLP tools.
Proficiency with CI/CD tools (specifically Harness) and artifact management platforms (Artifactory).
Ideal Candidate Profile
Experienced in threat modeling for LLM architectures and AI agent workflows.
Skilled in developing and securing containerized cloud workloads (Docker/Kubernetes preferred but not mandatory).
Strong coding/scripting ability in Python, Go, or similar for building AI-driven security tools.