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Security Engineer - Threat Modeling

TD Newton & Associates
Multiple Locations
9 - 13 Years

Posted on: 31/01/2026

Job Description

Job Description :

- Demonstrate foundational knowledge of cybersecurity and artificial intelligence, supporting secure design and deployment of AI systems under guidance from senior team members.

- Assist in implementing and maintaining AI security policies and standards, including controls for prompt injection, topic safety, output guardrails, and basic behavioral monitoring in agentic systems.

- Support threat modeling and risk analysis activities for GenAI and multi- agent AI systems by identifying common threats, misuse patterns, and security gaps.

- Contribute to ensuring compliance with AI regulations and data protection requirements (e.g., EU AI Act, NIST AI RMF, GDPR, CCPA) through documentation and control validation.

- Participate in investigation and analysis of AI- related security incidents, such as prompt injection, content violations, and goal manipulation, under senior supervision.

- Operate and help tune AI security tools for anomaly detection, vulnerability identification, and behavior monitoring of AI workflows.

- Apply programming and scripting skills (preferably Python) to support automation of AI security checks, monitoring tasks, and governance workflows.

- Support team efforts to promote AI security best practices, stay current with emerging threats, and share learnings through documentation or internal sessions.

- 3+ years of experience in Cybersecurity with at least 2 years focused on technical GenAI security.

- Strong knowledge of cybersecurity principles, threat modeling, and risk assessment.

- Expertise in GenAI security, including adversarial attack mitigation, guardrail tuning, topic / sentiment classifiers.

- Familiarity with AI security frameworks (NIST AI RMF, OWASP LLM Red Teaming Guide & Top 10).

- Proficiency in Python for GenAI developments and Security automatization (at least Streamlit, AutoGen & Semantic Kernel, smolagents).

- Hands-on experience with AI security tools (garak, giskard, fuzzyai) as well as manual AI security testing (automation experience with Python is a huge plus).

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