about 2 hours ago
Base Salary
$121k - $226k/yr
Responsibilities
- Apply AI security design patterns to internal tools and integrations.
- Lead threat modeling for new AI capabilities to identify risks.
- Implement controls for agent isolation and data-boundary enforcement.
- Maintain an inventory of AI tools and track data flows and access controls.
- Run risk assessments for internal AI tools and third-party providers.
- Execute adversarial testing and drive remediation efforts.
- Operate the lifecycle of AI tools from proposal to retirement.
- Produce compliance documentation for SOC 2 and ISO certifications.
- Partner with IT to embed security into the AI platform.
Requirements
- 5+ years in security engineering with hands-on AI/ML experience.
- Experience securing LLM-based systems and ML pipelines in cloud environments.
- Solid understanding of AI-specific attack surfaces and vulnerabilities.
- Strong proficiency in Python and experience with security tooling.
- Knowledge of AWS security practices and compliance frameworks.
- Ability to communicate technical risks to various stakeholders.
Benefits
- Equity grants for all employees.
- 4% matching 401(k) program.
- Comprehensive medical, dental, vision, and life insurance coverage.
- Monthly wellness stipend.
- Paid parental leave.
- Flexible vacation policy.