Engineer, AI Security Posture & Model Validation

Engineer, AI Security Posture & Model Validation

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 global brands by validating models and pipelines, enforcing identity and data protection controls, and partnering with engineering and Cloud Security teams to reduce risk to the company and customer information assets.

Key Responsibilities

• 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 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.

Required Qualifications

Education:

A bachelor's degree in Cyber Security, Computer Science, Artificial Intelligence, or a related field is required.

Experience:

This role requires 3+ years in Cyber Security, AI/ML, or security engineering within a large enterprise setting. Candidates should have hands-on experience with model validation, security tooling and automation, and applying the NIST AI RMF to AI workloads. Fundamentals of Identity and Access Management are necessary.

Technical

Skills:

Strong programming and scripting ability, especially in Python, for security tooling and automated testing. Knowledge of machine learning concepts, secure MCP configuration, Application/API security, and data protection is required. Fundamentals of cloud environment security for Azure and AWS are also necessary.

Preferred Qualifications

• A Master's degree in a related field is a plus.
• Ability to communicate AI security concepts in non-technical terms to business stakeholders.

Work Environment

This position requires employees to work from a designated office in South Florida Monday through Thursday each week, with the option to work from home on Fridays. Candidates must be located in or willing to relocate to the Miami/Ft. Lauderdale area. Work is primarily performed in a climate-controlled environment with minimal safety or health hazard potential. No travel is required for this role.