Key skills
AI cybersecurity experienceMachine learning expertisePython programmingCloud services (Azure/AWS)AI security technologiesEnterprise architecturesSecurity frameworks knowledgeCollaboration skillsPythonJavaRAIMachine LearningGenAILLMAgenticAWSAzureLeadershipCommunicationCollaborationOWASP
About this role
Phizenix is seeking a Principal Cyber AI Engineer to lead the development and optimization of advanced tools to combat AI-specific threats. This role involves hands-on technical leadership, focusing on integrating AI security capabilities into robust cybersecurity architectures while collaborating closely with various teams.
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
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
- 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