All potential applicants are encouraged to scroll through and read the complete job description before applying.
The Principal 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 capabilities into robust cybersecurity architectures.
Key Responsibilities:
Design, develop, and optimize AI-Security specific threat models, tools, solutions for threat identification, prediction, and prevention.
Implement and secure machine learning models, neural networks, 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, ISO42001, OWASP Top 10 for LLM), and advanced security architectures (Agentic, MCP). xsgimln
Stay abreast of emerging trends and advancements in AI and cybersecurity.