AI Security Engineer

6+ years of experience in cybersecurity, with exposure to AI/ML security Strong understanding of application and cloud security (AWS and/or Azure) Experience securing APIs, microservices, and data pipelines Familiarity with AI/ML concepts (LLMs, model training/inference, vector databases) Experience with threat modeling and secure architecture design Programming/scripting experience (Python, Go, or similar)

Desired Skills & Experience Experience securing LLM-based applications or AI platforms Knowledge of AI-specific risks (prompt injection, model poisoning, data exfiltration) Familiarity with frameworks like NIST AI RMF or similar governance models Experience in financial services or regulated environments Security certifications (CISSP, CCSP, or similar), Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

30% AI/ML Security (LLMs, model protection, data security) 20% Threat Modeling & Architecture 10% Automation & Tooling

Daily Responsibilities 60% Hands On 15% Management Duties 25% Team Collaboration

The Offer Bonus eligible

You will receive the following benefits: Medical, Dental, and Vision Insurance Vacation Time Bonus

A leading financial services company is hiring a Senior AI Security Engineer for a full-time, internal role supporting secure AI adoption across the enterprise. This position is primarily remote within the Tri-State area, with occasional on-site collaboration. You'll work at the intersection of cybersecurity, machine learning, and cloud platforms-securing LLM-based applications, protecting sensitive data, and designing controls across AWS/Azure environments while partnering with engineering teams building next-generation AI solutions.