The Principal Cyber AI Engineer will develop AI security tools and solutions, analyze threat data, mentor junior engineers, and ensure compliance with security standards.
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.
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What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
