AI Security Engineer: Model Validation & Guardrails

Carnival Cruise Line; Miami (FL); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Health benefits

401(k) with company match

Paid time off

Holidays and vacation time

Employee stock purchase plan

On-site fitness center

Tuition reimbursement

Job summary

Carnival Cruise Line seeks an AI Security Engineer to secure GenAI workloads across global brands. You will implement AISPM, build model validation harnesses, and enforce data protection and IAM controls, coordinating with Cloud Security to ensure compliant deployments in AWS and Azure.

The role is hands-on, focusing on securing the inference layer, developing automation in Python, and maturing security monitoring for operations teams in a large enterprise travel context.

Qualifications

• Strong scripting and automation skills for security tooling and automated testing of AI systems.
• Hands-on experience validating AI/ML models and securing the inference layer.
• Knowledge of IAM and data protection controls; familiarity with NIST AI RMF.

Responsibilities

• Implement and operate AISPM/DSPM across model/inference infrastructure.
• Design and run model validation harnesses for robustness and data leakage.
• Build guardrails for inference layer controls and access management.
• Enforce data protection controls (PHI/PII) and least-privilege IAM.
• Collaborate with Cloud Security to validate AWS/Azure guardrails.
• Develop scripts to integrate AI security into CI/CD pipelines.
• Document secure patterns and remediation guidance for deployment.

Skills

Python scripting

AI security

Model validation

Identity & data protection

Education

Bachelor's degree in Cyber Security/CS/AI

Master's degree a plus

Tools

AWS

Azure

CI/CD tooling

Job description

Carnival Cruise Line seeks an AI Security Engineer to secure GenAI workloads across global brands. You will implement AISPM, build model validation harnesses, and enforce data protection and IAM controls, coordinating with Cloud Security to ensure compliant deployments in AWS and Azure.

The role is hands-on, focusing on securing the inference layer, developing automation in Python, and maturing security monitoring for operations teams in a large enterprise travel context.