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 cybersecurity architectures

 

 

• 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.

 

• 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.