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Specialized senior AI-security role in Bangalore with niche skills and seniority, limiting applicant density.
Highly specialized AI and cloud security expertise required, limiting cross-industry transferability.
Strict 10-year cybersecurity minimum and mandatory AI-security, cloud, and CI/CD tooling expertise.
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Design and enforce security guardrails for Large Language Models (LLMs) and autonomous AI agents, focusing on preventing prompt injection, data exfiltration, and toxic outputs.
Implement and maintain security postures including IAM and Data Loss Prevention across AWS and GCP cloud environments hosting AI workloads.
Integrate automated security scanning and vulnerability management into CI/CD pipelines using tools like Harness and JFrog Artifactory, also developing AI-driven security scanning solutions.
Minimum 10 years of cybersecurity experience including AppSec, Cloud Security, or DevSecOps.
At least 3 years dedicated to AI/ML security focusing on LLM vulnerabilities and guardrail frameworks.
Proven experience with AWS and GCP security including IAM and DLP.
Experience with CI/CD tools (Harness) and artifact management platforms (Artifactory).
Experienced in architecting secure AI/ML environments with strong focus on LLM threat modeling and autonomous AI agent security.
Skilled in multi-cloud security operations, especially AWS and GCP, applied to AI workloads.
Familiar with DevSecOps practices including container security (Docker, Kubernetes) and custom AI-driven security tooling development.