Beschreibung
Responsibilities: Architectural Design & Review: Research, design, and document comprehensive security architectures for enterprise IT systems. Conduct deep-dive architectural reviews before development begins to mitigate systemic risks early in the SDLC. AI Security Engineering: Design, implement, and maintain security controls for Artificial Intelligence (AI) systems and their underlying platforms (e.g., protecting against prompt injection, data poisoning, and model inversion).
DevSecOps Collaboration: Partner with development teams to integrate security best practices into the AI and Application lifecycle Risk Advisory: Provide expert guidance on technology risks, emerging threats, and the implementation of defensive controls across the organization. Security Standards Leadership: Develop and maintain security baselines and patterns that align with global frameworks and internal business goals.
Qualifications
Bachelors or Masters Degree in Computer Engineering, Computer Science or related field. Minimum of 3 - 5 years of experience in cybersecurity Proven track record in Threat Modeling, system analysis, and identifying complex abuse patterns. Hands-on experience with Cloud Security platforms (AWS, GCP, or Azure) Deep understanding of Application Security Architecture and modern cybersecurity principles (Zero Trust, Defense in Depth).
Familiarity with AI/ML frameworks and the unique security challenges associated with Large Language Models (LLMs). Strong working knowledge
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