2 дня назад
Advisor - AI Security Engineer
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Advisor - AI Security Engineer (AI/LLM Security): Designing and implementing guardrails, secure execution boundaries, threat models, cloud security controls, and DLP policies for enterprise AI workloads with an accent on LLM vulnerabilities, autonomous agents, and multi-cloud environments. Focus on integrating security scanning into Harness CI/CD pipelines, securing artifacts in JFrog Artifactory, and developing AI-driven utilities for detecting anomalies, vulnerabilities, and misconfigurations.
Location: Bengaluru, India; hybrid work with at least two days per week in an assigned office
Company
provides pioneering products and technology while supporting collaboration, professional development, and work-life flexibility across its global workforce.
What you will do
- Design and enforce LLM guardrails across user applications and cloud-hosted environments to prevent prompt injection, data exfiltration, and toxic outputs.
- Architect secure execution boundaries, sandboxing, and IAM frameworks for autonomous cloud-hosted AI agents.
- Perform advanced threat modeling for LLM architectures, RAG pipelines, and agentic workflows.
- Configure AWS and GCP security controls and implement DLP policies for AI workloads.
- Integrate automated security scanning into CI/CD pipelines using Harness and secure packages, model weights, and dependencies in JFrog Artifactory.
- Develop AI- and machine-learning-powered security scanning capabilities for anomalies, code vulnerabilities, and misconfigurations.
Requirements
- At least 10 years of dedicated cybersecurity experience in areas such as AppSec, cloud security, or DevSecOps.
- At least 3 years of hands-on AI/ML security experience, including LLM vulnerabilities, OWASP Top 10 for LLMs, and guardrail frameworks.
- Experience configuring security policies, IAM, and DLP tools in AWS and GCP.
- Deep knowledge of Harness CI/CD and Artifactory.
Nice to have
- Experience securing Docker workloads and Kubernetes environments, including network policies and pod security standards.
- Proficiency in Python, Go, or similar programming languages.
- AWS Certified Security, Google Professional Cloud Security Engineer, CISSP, or specialized AI/ML security certifications.
Culture & Benefits
- Collaborative and energetic working environment focused on innovation.
- Opportunities to develop current skills and build new capabilities.
- Professional development support and resources.
- Work-life flexibility and access to global collaboration resources.
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