Senior Security Engineer

What you'll do

• Assess AI applications, infrastructure, ML pipelines, and agentic systems for vulnerabilities and security risks.
• Develop assessment methodologies, tooling, and automation, and help shift security earlier in the AI development lifecycle.
• Define security requirements and controls, communicate findings, and promote security practices across engineering teams.

What they ask for

• Experience assessing complex distributed systems, cloud-native applications, and large-scale infrastructure.
• Experience developing security requirements, threat models, or risk assessments for emerging technologies.
• Experience applying security best practices to AI/ML solutions and working knowledge of AI/ML concepts and common security risks.
• Strong written and verbal communication skills; BS in Computer Science, Computer Engineering, or Information Security, or 5+ years of equivalent hands-on experience.

Nice to have

• Experience developing security tooling or automation leveraging LLMs.
• Experience securing AI agents or emerging agentic protocols such as MCP (Model Context Protocol) or A2A.

Pay

$184,700 and $277,600 (base salary); $175,000 and $263,300 (base salary)

Tools

AI/ML, ML pipelines, vector databases, agentic systems, LLM-based applications, MCP (Model Context Protocol), A2A

AI focus

Assess AI/ML systems and their security risks; develop security requirements, controls, tooling, and automation, including potential LLM-enabled tooling.