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Cyber Security Engineer - AI Security - Gray Swan AI
Security Engineer
Design and implement real‑time AI threat detection and adaptive defenses, leveraging Python, machine‑learning models, and cloud security on AWS to protect AI labs and enterprise systems.
About the role
Key Responsibilities
- Develop and maintain AI‑focused security monitoring pipelines that detect emerging threats in real time.
- Design automated validation and response workflows using Python and machine‑learning techniques.
- Implement and harden cloud security controls on AWS for AI workloads, including IAM, VPC, and serverless services.
- Collaborate with product and research teams to translate security findings into adaptive defense mechanisms.
- Conduct incident response, root‑cause analysis, and post‑mortem reporting for AI‑related security events.
Requirements
- 3+ years of hands‑on experience in cyber security engineering, preferably with AI/ML systems.
- Proficiency in Python and building/maintaining ML‑based detection models.
- Strong knowledge of cloud security best practices on AWS (IAM, networking, serverless security).
- Experience with threat detection, SIEM integration, and incident response workflows.
- Ability to work autonomously in a fast‑paced, high‑ownership environment.
Skills
pythonmachine learningaws