Join a team where you can play a crucial role in shaping the future of a world-renowned company and make a direct and meaningful impact in a space designed for top performers.

As a Senior Lead Security Engineer at JPMorgan Chase within the Cybersecurity and Technology Controls organization, you are an integral part of an agile 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. Drive significant business impact through your capabilities and contributions and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of cybersecurity challenges that span multiple technology domains.

 

Job responsibilities

Develop new / update existing AI technology control requirements identified from emerging AI threats, standards and regulations, e.g., MITRE ATLAS, NIST AI Risk Management Framework, EU AI Act, OWASP Top 10 for LLM, etc.Engineer / deploy AI specific 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.Partner with other JPMC cybersecurity organizations to uplift their respective areas to accommodate for AI specific security requirements.Facilitates security requirements clarification for multiple networks to enable multi-level security to satisfy organizational needsWorks with stakeholders and senior business leaders to recommend business modifications during periods of vulnerabilityBe responsible for triaging based on risk assessments of various threats and managing resources to cover impact of disruptive events Adds to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 5+ years applied experience in AI/ML or cybersecurity or equivalent rolesHands-on technologist with extensive 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, including Python, TensorFlow, and PyTorchExperienced across the model development lifecycle (MDLC), including data acquisition, model experimentation, training, testing, and MLOpsSolid understanding of AI system attack surfaces, threats, and mitigating controls throughout the MDLCKnowledgeable in AI safety, AI alignment, AI cybersecurity concepts, and trends, including GenAI securityStrong understanding of cloud computing concepts and services, including AWS and AzureProficient in cloud infrastructure as code (IaC) tools like TerraformKnowledgeable in containers and container orchestration technologies such as Docker, Kubernetes, and HelmSkilled in planning, designing, and implementing enterprise-level security solutionsPractical cloud native experience

Preferred qualifications, capabilities, and skills

AWS Certified Machine Learning – Specialty or Microsoft Certified: Azure Data Scientist AssociateAWS Certified Security – Specialty or Microsoft Certified: Cybersecurity Architect Expert certification CISSP