About the Role

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.

Required Skills & Experience

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)

What You Will Be Doing

Tech Breakdown

40% Cloud & Application Security (AWS/Azure)
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

Benefits

Medical, Dental, and Vision Insurance
Vacation Time
Bonus

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

Senior AI Security Engineer

Job summary

Work model