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.
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