Lead Security Engineer - AI/ML

JPMorgan Chase • Plano, TX

82d

About The Position

Take on a crucial role where you'll be a key part of a high-performing team delivering secure software solutions. Make a real impact as you help shape the future of software security at one of the world's largest and most influential companies. As a Lead Security Engineer at JPMorgan Chase within the Cybersecurity and technology controls, you are an integral part of a team that works to deliver software solutions that satisfy pre-defined functional and user requirements with the added dimension of preventing misuse, circumvention, and malicious behavior. As a core technical contributor, you are responsible for carrying out critical technology solutions with tamper-proof, audit defensible methods across multiple technical areas within various business functions.

Requirements

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Hands-on software engineer with extensive development experience in Java and Python coding, scripting, and development
• Knowledgeable in AI safety, AI alignment, AI cybersecurity concepts, and trends, including GenAI security
• Strong understanding of cloud computing concepts and services, including AWS and Azure

Nice To Haves

• AWS Certified Machine Learning - Specialty or Microsoft Certified: Azure Data Scientist Associate
• AWS Certified Security - Specialty or Microsoft Certified: Cybersecurity Architect Expert certification

Responsibilities

• Development and deploy software for AI technology controls in-line with requirements (e.g., model vulnerability management technologies, AI firewalls, etc.) and integrate the controls into the broader JPMC cybersecurity eco-system
• Hands-on software engineer with extensive development experience in Java and Python coding, scripting, and development
• Subject matter expert in securing AI/ML systems with practical experience in AI and machine learning technologies
• Solid understanding of AI system attack surfaces, threats, and mitigating controls throughout the MDLC
• Knowledgeable in AI safety, AI alignment, AI cybersecurity concepts, and trends, including GenAI security
• Strong understanding of cloud computing concepts and services, including AWS and Azure
• Proficient in cloud infrastructure as code (IaC) tools like Terraform
• Knowledgeable in containers and container orchestration technologies such as Docker, Kubernetes, and Helm

What This Job Offers

• Career Level: Senior
• Industry: Credit Intermediation and Related Activities
• Education Level: Bachelor's degree