Remote Senior AI Security Engineer (AWS & AI)

PartsBase Inc.

United States

On-site

USD 140,000 - 220,000

Full time

14 days+

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Benefits offered by this job

Medical benefits

Paid time off

Competitive base salary + lucrativeCom

Comprehensive training

Clear career growth paths

Be part of a fast-growing, innovative

Job summary

PartsBase Inc. in the United States is seeking a Senior AI Security Engineer to own and strengthen the security of our cloud, applications, and corporate environments. You will build AI-driven security automations and lead incident response across AWS, servers, and code.

The ideal candidate has 10+ years in security engineering or DevSecOps, expert AWS knowledge, and strong programming in Python and .NET. This fully remote role offers a collaborative culture and opportunities to shape aviation

Qualifications

Bachelor's degree in Computer Science, Information Security, Engineering, or equivalent experience.
10+ years of Security Engineering, DevSecOps, Cloud Security, or Incident Response experience.
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 (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 security frameworks (NIST, CIS, SOC 2, ISO 27001).
Knowledge of AI-specific security risks, including prompt injection and data leakage.
Strong communication skills and ability to translate technical risks for business stakeholders.
Fluent in Spanish and English.
Aviation, aerospace, defense industry experience and Azure/GCP exposure are a plus.

Responsibilities

Own and manage the overall security posture across cloud, applications, and corporate systems.
Build and maintain AI-powered security agents that aggregate, analyze, and prioritize security threats.
Lead incident response activities, including investigation, remediation, and communication.
Remediate security issues directly within AWS, application code, and infrastructure.
Develop automations and workflows to improve threat detection and remediation efficiency.
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-level risk communication, and audit support.