Cyber Security Engineer Contract Hybrid Need Local Dallas TX

Position Overview

The AI Cloud Security Engineer will implement and operationalize enterprise security capabilities across Airlines' cloud-hosted AI platforms. This role is primarily responsible for establishing preventive, detective, and governance controls for Generative AI and Agentic AI workloads hosted on AWS, with an emphasis on AWS Bedrock Security Guardrails, CrowdStrike AIDR for Agents, and frontier model security.

The ideal candidate bridges architecture design and hands-on automation, integrating frameworks such as NIST AI RMF, OWASP Top 10 for LLM Applications, and MITRE ATLAS into enterprise CI/CD pipelines and cloud security operating models.

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.