Remote GenAI Security Engineer - Cloud Guardrails Expert

LiveMindz Inc.

United States

Remote

USD 140,000 - 180,000

Full time

5 days ago
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Job summary

LiveMindz Inc. is seeking a Cybersecurity Engineer to secure enterprise AI workloads hosted in the cloud. The role emphasizes AWS Bedrock guardrails, threat modeling, and CI/CD integration while applying best practices for agent orchestration and RAG architectures.

The engineer will bridge architecture design with hands-on automation, ensuring preventive, detective, and governance controls across GenAI deployments on AWS, with a focus on security guardrails and runtime protection.

Qualifications

  • Bachelor’s degree in a cybersecurity or computing field or equivalent practical experience.
  • Experience designing and implementing security controls for GenAI/LLM workloads.
  • Hands-on security work in AWS environments with Bedrock or similar services.
  • Familiarity with threat modeling and security reviews for AI architectures.

Responsibilities

  • Design, deploy, and manage AI security guardrails for GenAI/Agentic AI on AWS.
  • Integrate guardrails-as-code using Terraform or CloudFormation in CI/CD pipelines.
  • Implement runtime protection and detection with CrowdStrike AIDR.
  • Configure logging and telemetry to feed SIEM and SOC workflows.
  • Conduct threat modeling and security reviews of RAG architectures and agents.

Skills

AWS Bedrock Security
CloudIaC
CrowdStrike AIDR
GenAI Security
LLM Security
CI/CD Security
Logging & Observability

Education

Bachelor’s degree in Cybersecurity/CS/IS/Engineering

Tools

Terraform
CloudFormation

Job description

LiveMindz Inc. is seeking a Cybersecurity Engineer to secure enterprise AI workloads hosted in the cloud. The role emphasizes AWS Bedrock guardrails, threat modeling, and CI/CD integration while applying best practices for agent orchestration and RAG architectures.

The engineer will bridge architecture design with hands-on automation, ensuring preventive, detective, and governance controls across GenAI deployments on AWS, with a focus on security guardrails and runtime protection.

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