19 days ago
Base Salary
$225k - $300k/yr
Responsibilities
- Build and run generative AI security controls for applications and platforms.
- Secure agent/tool-calling and connector workflows to prevent tool abuse and data exfiltration.
- Lead AI threat modeling and risk assessments, maintaining threat models and driving mitigations.
- Define secure-by-default reference architectures for cloud-native and hybrid GenAI workloads.
- Develop and continuously improve monitoring and detection for anomalous AI behavior.
- Lead incident response and remediation for security events involving AI applications.
- Translate policy and regulatory requirements into implementation and audit-ready documentation.
- Act as the GenAI security SME with internal Technology teams and stakeholders.
Requirements
- 6+ years of software engineering experience with strong coding skills in Python, Go, or Java.
- Experience building containerized services using Kubernetes.
- Familiarity with AI/ML and/or GenAI tools and technologies.
- Experience defining and implementing infrastructure and application pipelines.
- Expert understanding of software development methodologies and concepts.
- Ability to deliver robust security controls for GenAI systems and communicate effectively.
- Comfort partnering across various internal teams to implement security measures.
- Excellent organizational, communication, and interpersonal skills.
- Background in cybersecurity, including threat modeling and security engineering practices.
- Commitment to the highest ethical standards.
Benefits
- Fully-paid health care benefits.
- Generous parental and family leave policies.
- Mental and physical wellness programs.
- Volunteer opportunities.
- Non-profit matching gift program.
- Support for employee-led affinity groups.
- Tuition assistance.
- 401(k) savings program with employer match.