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 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 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.
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 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.
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.