AI Cybersecurity Engineer – Offensive Security, Threat Modeling

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Xenon Seven

WebsiteLinkedInAll Job Openings

11 - 50 employees

🤖 Artificial Intelligence

🏢 Enterprise

Artificial Intelligence • Enterprise

Xenon Seven is a company that specializes in providing AI and data solutions across various industries, including healthcare, financial services, consumer retail, high-tech, automotive, and energy utilities. With expertise in generative AI, decision support systems, predictive analytics, computer vision, robotics, and mechatronics, they support businesses in AI preparedness, exploration, transformation, and scalability. Xenon Seven works with a network of AI technologists and experts from over 20 institutions, focusing on solving complex problems and ensuring secure and seamless AI transitions for businesses. Their services aim to optimize AI infrastructure and performance while maintaining strict security standards.

📋 Description

• Predictive AI Threat Modeling: Lead advanced threat-modeling exercises across the bank’s localized AI/ML pipelines, data repositories, and training environments. Anticipate sophisticated attacker behaviors to design preemptive security guardrails before models are moved to production. • AI Red Teaming & Offensive Simulations: Conduct targeted offensive operations and ethical hacking against our on-premises AI infrastructure. Simulate real-world adversarial attacks, including data poisoning, model inversion, membership inference, evasion attacks, and prompt injection. • Framework Mapping with MITRE ATLAS: Implement and operationalize the MITRE ATLAS (Adversarial Threat Landscape for Artificial-Intelligence Systems) framework. Map identified vulnerabilities to ATLAS tactics and techniques to build a robust, AI-specific defensive matrix aligned with traditional MITRE ATT&CK. • On-Premises Infrastructure Hardening: Assess and secure the physical and virtual infrastructure hosting our AI workloads, including bare-metal GPU clusters, local containerized environments (Kubernetes/OpenShift), and private data registries, ensuring strict isolation from external threats. • Proactive Risk Management & Early Detection: Collaborate with the SOC and data engineering teams to build predictive detection use-cases and custom alerts. Identify the early warning signs of an AI-targeted attack or data exfiltration attempt before malicious actors can compromise model integrity.

🎯 Requirements

• Professional Experience: 5+ years of dedicated experience in Offensive Security, Red Teaming, or Advanced Penetration Testing, with a proven pivot and at least 2 years of hands-on experience securing or attacking AI/ML workloads. • Banking Sector Experience (Mandatory): Prior experience working within a regulated financial institution in Egypt. You must understand the security constraints, compliance mandates, and audit rigor required by the Central Bank of Egypt (CBE) for on-premises operations. • Deep Mastery of AI Attack Frameworks: Expert-level knowledge of MITRE ATLAS and the OWASP Top 10 for Large Language Models (LLMs). You must have a proven track record of translating these theoretical frameworks into practical, automated offensive playbooks. • On-Prem & Core Technical Skills: Strong proficiency in Python or bash scripting to build custom exploit or testing tools. • Deep understanding of on-premises infrastructure components (Linux administration, private networking, storage area networks). • Direct experience with container security (Docker, Kubernetes) and secure MLOps pipelines. • Education & Certifications: Bachelor’s degree in Computer Science, Cybersecurity, Computer Engineering, or a strictly related field. • Highly valued offensive certifications: OSCP, OSCE, CRTP, or GPEN, alongside any specialized AI/ML security credentials. • Mindset & Communication: A relentlessly curious, adversarial mindset balanced with strong risk management disciplines. The ability to clearly articulate complex, highly technical AI vulnerabilities into actionable remediation plans for data scientists and senior banking executives. Fluency in English.

🏖️ Benefits

• Attractive, market-leading salary package • Clear career advancement path with professional development opportunities