Principal Engineer, AI Security Governance | Endpoint Security Engineering
$221,200–$387,100 year
RemoteUnited States
Job Summary
Own the vision, strategy, and roadmap for the AI Security Governance Program across five control pillars, including AI visibility, prompt protection, agent architecture, shadow AI, and compliance. Architect and deploy hands-on security controls for enterprise and platform AI tracks, covering AI detection, response, data security posture management, and data-path access. Drive the shift from manual operations to AI-automated workflows and close highest-severity gaps in data protection and agent permissions. Author precise risk narratives for CISO, board, and Audit Committee audiences while providing technical leadership and mentorship to engineers. Lead through technical authority rather than direct management to mature controls that reduce risk to sensitive AI-connected assets.
Required Qualifications
- 15+ years of relevant experience in security and software engineering, including hands-on technical leadership, or similar experience with education
- Deep, current expertise in AI security — LLM and generative-AI threats, agentic-AI risk, prompt and response protection, AI/ML supply chain, and AI governance frameworks
- Strong architecture and engineering skills across cloud and SaaS environments, and the ability to build and operate controls directly, not only design them
- Experience with data security tooling (DSPM/AISPM, DLP, CASB) and identity/entitlement controls
- A track record of translating complex technical risk into executive-, board-, and auditor-ready narratives
- Strong problem-solving across security and software engineering, and the ability to apply data for diagnostics and to make the case for new solutions
- Working knowledge of compliance and regulatory standards, and experience in Agile practices
- Ability to build trusted relationships with security and engineering teams across the company
- You must be eligible for adjudication to access our US regulated market environments
- Permanent residency or citizenship is required
Desired Qualifications
- Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry
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