AI Prompt Security Engineer

ZealHire Inc.; Miami, Northern (FL, KY); Hybrid; USD 110,000 - 170,000; Full time

Job summary

Carnival Corp’s GCS Security Architecture function secures AI adoption by ensuring GenAI and model workloads meet security standards. This hands-on role focuses on AI security posture, model validation, and inference-layer controls across global brands.

The engineer will build tooling, automate testing, and integrate security controls into CI/CD, partnering with Cloud Security to enforce data protection and least-privilege access across AWS and Azure environments.

Qualifications

• Bachelor's degree in Cyber Security, Computer Science, Artificial Intelligence, or a related field.
• Cloud environment security fundamentals (Azure & AWS). Proficient in Python.
• Knowledge of ML concepts, secure MCP config, API security, and data protection.

Responsibilities

• Implement AISPM/DSPM across model and inference infrastructure and drive remediation.
• Design, build, and run model validation harnesses for robustness and data leakage checks.
• Build and maintain inference-layer guardrails and access controls for GenAI applications.
• Define and enforce PHI/PII and data protection controls, and identity/access controls for AI systems.
• Partner with Cloud Security to establish guardrails in AWS and Azure for AI workloads.
• Develop scripts and tooling to integrate AI security controls into CI/CD pipelines.
• Document secure architecture patterns and remediation guidance for deployment.
• Research and pilot AI security tools aligned to AI RMF standards.
• Transition matured AI security monitoring to security operations teams.

Skills

Python scripting

Security tooling

AI/ML security

NIST AI RMF

Education

Bachelor's degree in Cyber Security/CS/AI

Tools

AWS

Azure

CI/CD tooling

Job description

USC onlyneed LinkedIn with pictureDL copy

Notes: We are fine with someone with less security experience for this role.

Locals - Hybrid role

The GCS – Security Architecture function secures Carnival Corp’s adoption of AI by ensuring GenAI, model, and agentic systems are deployed, validated, and operated against published security standards. This position is a hands‑on engineering role focused on AI security posture, model validation, and securing the inference layer. The AI Engineer builds and operates the controls, tooling, and automation that keep AI workloads secure across the global brands—validating models and pipelines, enforcing identity and data protection controls, and partnering with engineering and Cloud Security teams to reduce risk to Carnival Corp and customer information assets.

Essential Functions:

• Implement and operate AI security posture management (AISPM/DSPM) across model and inference infrastructure; identify misconfigurations, drift, and risk in AI workloads and drive remediation.
• Design, build, and run model validation and evaluation harnesses to test AI models and pipelines for robustness, data leakage, and unexpected behavior before and after deployment.
• Build and maintain inference‑layer guardrails and controls (input/output filtering, rate and access controls) for GenAI and agentic applications.
• Define and enforce PHI/PII and data‑protection controls, and identity/access controls (least‑privilege, agent‑to‑agent authentication) for AI systems.
• Partner with Cloud Security to establish and validate guardrails in AWS and Azure for AI workloads.
• Develop scripts, automation, and tooling (primarily Python) to integrate AI security controls and automated testing into CI/CD pipelines and engineering workflows.
• Document secure architecture patterns, anti‑patterns, and reference materials for model deployment and inference, and provide remediation guidance to engineering teams.
• Research, test, and pilot AI security tools and utilities aligned to the NIST AI RMF and related standards.
• Transition matured AI security monitoring to security operations teams.

Knowledge, Skills & Abilities:

• Strong scripting and automation skills (especially Python) for security tooling, evaluation harnesses, and automated testing of AI systems. Hands‑on experience validating AI/ML models and securing the inference layer. Working knowledge of Identity and Access Management and data security/privacy controls (PHI/PII, encryption). Applied understanding of the NIST AI RMF and related AI security frameworks. Ability to communicate AI security concepts in non‑technical terms to business stakeholders.

Essential/Minimum qualifications:

• Bachelor’s degree in Cyber Security, Computer Science, Artificial Intelligence, or a related field (Master’s a plus).
• Cloud environment (Azure & AWS) security fundamentals. Strong programming/scripting ability (Python). Knowledge of machine learning concepts, secure MCP configuration, Application/API security, and data protection.

Essential experience required

• 3+ years (mid‑level) in Cyber Security, AI/ML, or security engineering in a large enterprise setting.
• Identity and Access Management fundamentals. Hands‑on experience with model validation, security tooling and automation, and applying the NIST AI RMF to AI workloads.

$000,000 – $000,000 Salary range is not shown on the candidate portal