AI Security Engineer

Responsibilities

• Define authentication, authorization, access, attribution, and audit controls for AI agents, bots, and automations.
• Own security requirements for AI tool integrations, including least-privilege access, credential handling, data handling, secrets, and integration reviews.
• Design and implement guardrails for AI applications and agents.
• Review AI applications and integrations for security risks and provide practical security requirements to builders.
• Assist Security Operations with AI-powered tooling for detection, investigation, and response.
• Define security logging and telemetry requirements for AI systems and support detection development.
• Maintain visibility into AI tool usage and verify compliance with approved configurations.
• Lead AI-specific aspects of security incidents, including agent misuse and data exposure through AI tools.
• Translate AI security standards into technical controls and partner with GRC on governance and control evidence.
• Participate in the Security Operations on-call rotation after onboarding and cross-training.

Requirements

• At least 2 years of experience in security engineering, application security, or cloud security roles.
• Hands-on experience securing LLM applications, AI agents, or AI developer tools.
• Understanding of AI-specific risks including prompt injection, data leakage, excessive agency, and insecure tool use such as the OWASP Top 10 for LLM Applications.
• Experience with identity and access controls for services and non-human identities, including OAuth, service accounts, and secrets management.
• Programming experience in Python or another general-purpose language.
• Experience with cloud-native deployments, security operations or incident response, AI-assisted security workflows, and security telemetry for AI systems.
• Strong written and verbal communication skills and the ability to explain risk to non-security builders.
• Ability to work cross-functionally, make pragmatic security decisions, and participate in an on-call rotation.
• Preferred experience securing financial, trading, or other highly regulated platforms; enterprise AI coding tools and integrations; policy-as-code; Kubernetes; and AI governance frameworks such as the NIST AI Risk Management Framework or ISO 42001.

Benefits

• Competitive salary and stock options.
• Health benefits.
• One-time USD $500 new-hire home-office setup benefit.
• USD $150 monthly stipend via a Brex Card.
• 100% distributed and remote Security team.