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Phizenix

Principal Cyber AI Engineer

Remote
AI Python R Java Machine Learning AWS Azure NIST AI-RMF ISO 42001 OWASP Top 10 for LLMs
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Description

Principal Cyber AI Engineer

Location: Remote

Department: External - Client Requirement

The Cyber AI Engineer will drive the development and optimization of advanced tools, processes, and workflows to predict, detect, and prevent AI-specific threats. This hands-on technical leadership role combines deep research in AI security with close collaboration across teams to integrate AI security capabilities into robust cybersecurity architectures
 
Key Responsibilities: 
 
• Design, develop, and optimize AI-security-specific threat models, tools, and solutions for threat identification, prediction, and prevention. 
 • Implement and secure machine learning models, GenAI models, and AI techniques to enhance threat detection, monitoring, and risk scoring. 
 • Integrate AI security tools and technologies across cybersecurity architectures, collaborating with data scientists, security engineers, and other stakeholders. 
 • Analyze AI security incident data to refine and improve AI models and methodologies. 
 • Provide technical leadership and mentorship to junior engineers in AI and machine learning. 
 • Ensure alignment and compliance with industry standards (NIST AI-RMF, ISO 42001, OWASP Top 10 for LLMs) and advanced security architectures (Agentic, MCP). 
 • Stay abreast of emerging trends and advancements in AI and cybersecurity.
 
Required Qualifications:
 
• A Bachelor’s or Master’s degree in Computer Science, Engineering, or a closely related discipline is required.
• 5+ years of experience in AI-focused cybersecurity in an enterprise environment.
• Expertise in Python, R, Java, or similar programming languages.
• Deep understanding of machine learning, neural networks, and application to security systems.
• Hands-on experience with AI security technologies (intrusion detection, anomaly detection, threat intelligence).
• 3+ years’ experience in Azure or AWS cloud-native services, architectures, and tools.
• Expertise in enterprise architectures (including cloud-native and AI architecture patterns). 
• Advanced knowledge of security and governance frameworks (NIST AI-RMF, ISO 42001, OWASP Top 10 for LLM). 
 • Strong communication and collaboration skills.
 
Preferred Qualifications
 
• Experience with implementing OWASP Top 10 LLM Threats in practice with any industry or open-source product. 
• Working experience in Threat Modeling 
• Experience with agentic and Model Context Protocol (MCP) architectures. 
• Demonstrated ability to lead cross-functional technical teams. 
• Track record of published research or thought leadership in AI security.

Phizenix
Phizenix

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