AI Cloud Security Engineer

Required Skills & Experience (Prioritized)

1. AWS AI & Bedrock Security (5+ years Cloud, 1 2+ years AI Security): Direct hands-on experience configuring AWS Bedrock Guardrails, model access policies, content moderation filters, and foundation model protections.
2. AWS Cloud Engineering & IaC: Strong proficiency with AWS core security (IAM, SCPs, AWS Organizations) and Infrastructure as Code (Terraform or CloudFormation).
3. Runtime Protection & EDR/AIDR: Proven experience deploying and managing CrowdStrike Falcon, CrowdStrike AIDR, or equivalent cloud runtime detection platforms.
4. GenAI / LLM / Agentic AI Security: Deep technical understanding of RAG architectures, AI agent frameworks, prompt injection mitigations, output validation, and token abuse prevention.
5. AI Vulnerability Testing: Practical experience conducting security assessments and penetration tests specific to LLMs, tool integrations, and data leakage scenarios.
6. CI/CD & DevSecOps: Experience integrating automated security gates and policy-as-code into continuous integration/continuous deployment pipelines.
7. Cloud Logging & Observability: Expertise in aggregating AI telemetry via Amazon CloudWatch, SIEM tools, or OpenTelemetry.

Preferred Certifications

• AWS Certified Security Specialty
• AWS Certified AI Practitioner or AWS Cloud Practitioner
• CrowdStrike Falcon Platform Certifications (e.g., CCFA, CCFR)
• Industry Security Certifications: CISSP, CCSP, or GIAC Cloud Security (GCSA/GPCS)