Remote AI Security Engineer: Model Validation & Guardrails

Carnival Corporation; Miami (FL); On-site; USD 120,000 - 155,000; Full time

Benefits offered by this job

Health benefits

401(k) plan with company match

Employee stock purchase plan

Paid holidays and vacation time

On-site fitness center

Job summary

Carnival Corporation seeks an AI Security Engineer to secure GenAI deployments and inference pipelines. You will implement AISPM/DSPM, validate models, and enforce identity and data protection controls across AI workloads in AWS/Azure environments.

Lead automation in Python to integrate security into CI/CD, document secure architecture, and pilot AI security tools aligned to NIST AI RMF. Office-based in South Florida with hybrid options.

Qualifications

• Bachelor's degree in Cyber Security, Computer Science, AI, or related field; Master’s a plus.
• Cloud security fundamentals in Azure & AWS; strong Python scripting.
• Experience with model validation, AI security tooling, and data protection controls.

Responsibilities

• Implement and operate AI security posture management across model and inference infrastructure.
• Design and run model validation harnesses to test AI models and pipelines for robustness and data leakage.
• Build guardrails for GenAI inference layer and enforce access controls.
• Define PHI/PII data protection and least-privilege IAM for AI systems.
• Partner with Cloud Security to validate guardrails in AWS and Azure.

Skills

Python scripting

Identity & Access Management

Data protection controls

NIST AI RMF familiarity

Security tooling & automation

Communication with stakeholders

Education

Bachelor's degree in Cyber Security, CS, AI, or related

Master's degree a plus

Tools

AWS

Azure

CI/CD tooling

Job description

Carnival Corporation seeks an AI Security Engineer to secure GenAI deployments and inference pipelines. You will implement AISPM/DSPM, validate models, and enforce identity and data protection controls across AI workloads in AWS/Azure environments.

Lead automation in Python to integrate security into CI/CD, document secure architecture, and pilot AI security tools aligned to NIST AI RMF. Office-based in South Florida with hybrid options.