Principal Cyber AI Engineer

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 cyber security 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 cyber security 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 cyber security. 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 cyber security 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.