Lead Engineer - AI Security

What you'll do

• Assess AI systems, architectures, models, agents, and infrastructure for security risks and weaknesses.
• Develop and execute AI security validation methods, including threat modeling, attack simulation, and adversarial testing.
• Advise engineering and security teams on mitigations, secure deployment patterns, and AI security practices.

What they ask for

• Software developer comfortable in several programming languages across different platforms.
• 7+ years of hands-on experience in technology, with deep knowledge of multiple cybersecurity domains.
• LLM security expertise, including RAG, MCP, input validation, and sandboxing.
• 4-year degree or equivalent experience.

Nice to have

• GCP native security product experience.
• Vertex AI experience.

Pay

$132,000.00 - $238,000.00 USD base salary

Tools

GCP, RAG, MCP, NIST, ISO/IEC 27001, SIEM, IDS/IPS, DLP

AI focus

AI security assessment, threat modeling, adversarial testing, protection of LLMs and agents, and security controls for AI systems and platforms.