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Senior AI Security Engineer

Full-time

PartsBase Inc.

Responsibilities

  • Own and manage security posture across cloud, applications, infrastructure, and corporate systems.
  • Build and maintain AI-powered security agents that aggregate, analyze, and prioritize threats.
  • Lead incident investigations, remediation, and communications.
  • Remediate security issues in AWS, application code, and infrastructure.
  • Develop security automations and workflows for threat detection and remediation.
  • Manage vulnerability scanning, patching, dependency security, and compliance readiness.
  • Secure AI and LLM implementations, including agent permissions, prompt security, and data protection.
  • Conduct threat modeling, security architecture reviews, and risk assessments.
  • Partner with Engineering, DevOps, IT, and Product teams to embed security into development processes.
  • Provide security reporting, executive risk communication, and audit support.

Requirements

  • Bachelor’s degree in Computer Science, Information Security, Engineering, or equivalent experience.
  • 10+ years of experience in Security Engineering, DevSecOps, Cloud Security, or Incident Response.
  • Expertise with Claude, Claude Code, AI agents, MCP servers, APIs, and AI automation workflows.
  • Experience designing and deploying production-grade AI agent systems.
  • Strong programming skills in Python and .NET, including C#.
  • Expert knowledge of AWS security services, networking, IAM, infrastructure, and cloud architecture.
  • Experience with Infrastructure-as-Code, CI/CD security, server hardening, and SIEM platforms.
  • Deep understanding of application security, vulnerability management, and NIST, CIS, SOC 2, and ISO 27001 frameworks.
  • Knowledge of AI-specific security risks, including prompt injection and data leakage.
  • Strong communication skills for translating technical risks to business stakeholders.
  • Fluency in Spanish and English.
  • Aviation, aerospace, or defense experience and Azure or GCP exposure are preferred.

Benefits

  • Fully remote work arrangement.
  • Medical benefits.
  • Paid time off.
  • Training and career development opportunities.
  • Clear career growth paths.
  • The company ends work one hour early every Friday.
  • Candidate-friendly interview process with recruiter contact within 48–72 hours after application review and updates within 24 hours of each stage.
Vacancy posted 20 hours ago
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