AI Cloud Security Engineer: GenAI Guardrails & Defense

Qualizeal

Dallas (TX)

Hybrid

USD 120,000 - 160,000

Full time

11 days ago

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Job summary

Airlines seeks an AI Cloud Security Engineer to implement and operationalize security controls for GenAI workloads hosted on AWS, with emphasis on Bedrock Guardrails, AIDR, and frontier model security.

The role bridges architecture and hands-on automation, aligning with NIST AI RMF, MITRE ATLAS, and OWASP Top 10 for LLM applications within CI/CD pipelines and cloud security operating models.

Qualifications

  • Experience configuring AWS Bedrock Guardrails and model access policies.
  • Experience with Terraform or CloudFormation IaC.
  • Knowledge of CrowdStrike Falcon/AIDR or equivalent.
  • Understanding of GenAI security, RAG architectures, prompts mitigation.
  • Experience with CI/CD security gates and policy-as-code.
  • Experience with CloudWatch and observability tooling.

Responsibilities

  • Design, configure, and maintain security controls for GenAI and Agentic AI in AWS.
  • Deploy Bedrock Guardrails, including content moderation and model access controls.
  • Implement CrowdStrike AIDR and runtime protection for foundation models.
  • Develop adversarial security tests for LLMs and AI agents.
  • Embed guardrails-as-code into deployment pipelines using Terraform or CloudFormation.
  • Configure logging and alerts to integrate with enterprise SOC.
  • Conduct threat modeling for RAG architectures and AI tool integrations.

Skills

AWS Bedrock Security
AWS IaC (Terraform/CFN)
Runtime Protection (EDR/AIDR)
GenAI/LLM Security
AI Vulnerability Testing
CI/CD & DevSecOps
Cloud Logging/Observability

Education

Bachelor's degree in Cybersecurity or related field

Tools

Terraform
CloudFormation
AWS IAM
OpenTelemetry

Job description

Airlines seeks an AI Cloud Security Engineer to implement and operationalize security controls for GenAI workloads hosted on AWS, with emphasis on Bedrock Guardrails, AIDR, and frontier model security.

The role bridges architecture and hands-on automation, aligning with NIST AI RMF, MITRE ATLAS, and OWASP Top 10 for LLM applications within CI/CD pipelines and cloud security operating models.

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