What are the responsibilities and job description for the Lead Security Engineer - AI/ML position at JPMorgan Chase?
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 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.
Job 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
Required qualifications, capabilities, and skills
- 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
Preferred qualifications, capabilities, and skills
- AWS Certified Machine Learning – Specialty or Microsoft Certified: Azure Data Scientist Associate
- AWS Certified Security – Specialty or Microsoft Certified: Cybersecurity Architect Expert certification
