Phizenix - Principal Cyber AI Engineer
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Requirements
• 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. • Experience with implementing OWASP Top 10 LLM Threats in practice with any industry or open-source product. • 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.
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.
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