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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in defining and enforcing security requirements for AI applications and integrations, with a strong focus on identity and access controls, data handling, and incident response. Proficient in applying security standards to AI systems while collaborating cross-functionally to communicate risks effectively.
Highest-signal resume keywords
Security Engineering ExperienceAI Tool Integration SecurityIdentity And Access ControlsPython ProgrammingCI/CD Security Checks
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Security EngineeringApplication SecurityCloud SecurityAI Risk ManagementIdentity And Access ControlsPython ProgrammingCI/CD Security ChecksIncident ResponseSecurity TelemetryAI Workflow Automation
Soft Skills
Strong Communication SkillsCross-Functional CollaborationPragmatic Decision-Making
Tools & Technologies
OAuthService AccountsSecrets ManagementKubernetesAI Governance Frameworks
Industry Keywords
AI SecurityData HandlingSecurity OperationsIncident ResponseRegulated Platforms
Tech Stack
Tools & technologiesCloudKubernetesPython
About the role
Key responsibilities & impact- Define how AI agents, bots, and automations authenticate, what they can access, and how actions are attributed and audited
- Own security requirements for AI tool integrations, including least-privilege access and credential handling
- Define and enforce security settings for approved AI tools, including data handling and access policy
- Limit agent and integration access and review it when integrations change
- Define security requirements for internal AI applications, including identity, data handling, secrets, and new integration reviews
- Design and implement guardrails for AI applications and agents
- Review new AI applications and integrations for security risks and provide practical requirements
- Assist Security Operations in developing AI-powered tooling for detection, investigation, and response
- Apply identity, data handling, and logging requirements to security team AI tools
- Define security logging requirements for AI systems and work with Security Operations on detection
- Maintain visibility into AI tool usage and verify approved configurations
- Lead AI-specific aspects of security incidents, including agent misuse or data exposure
- Participate in the Security Operations on-call rotation after onboarding and cross-training
- Turn AI security standards into technical controls
- Partner with GRC on AI governance and provide technical evidence for control design
Requirements
What you’ll need- 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, such as prompt injection, data leakage, excessive agency, and insecure tool use (for example, 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 CI/CD security checks and cloud-native deployments
- Experience with security operations or incident response
- Strong written and verbal communication skills, especially when explaining risk to non-security builders
- Comfortable working cross-functionally and making pragmatic security decisions
- Willing to participate in an on-call rotation
- Experience building AI-assisted workflows for security operations
- Experience building security telemetry for AI systems
- Nice-to-haves: experience securing financial, trading, or other highly regulated platforms; enterprise AI coding tools and AI integrations; policy-as-code and Kubernetes; AI governance frameworks such as NIST AI Risk Management Framework or ISO 42001; balancing security rigor with operational efficiency and business needs
Benefits
Comp & perks- Competitive Salary & Stock Options
- Health Benefits
- New Hire Home-Office Setup: One-time USD $500
- Monthly Stipend: USD $150 per month via a Brex Card