Job Description

Join a high-performing team shaping the future of AI security at a global leader. Make a real impact by delivering secure, innovative solutions.

As a Lead Security Engineer at JPMorgan Chase within the Cybersecurity & Technology Controls for AI/ML team, you play a pivotal role in delivering secure software solutions that prevent misuse and malicious behavior. You are responsible for implementing tamper-proof, audit-defensible methods across multiple technical areas and business functions. You collaborate closely with stakeholders to ensure adversarial resilience and drive alignment on AI risk mitigation priorities. You help foster a culture of innovation and security within a diverse, cross-functional team.

Job Responsibilities

Develop and enhance security strategies, red teaming programs, and solution designs, troubleshooting technical issues and creating scalable solutions
Design secure, high-quality AI and software architectures, reviewing and challenging designs and code to ensure adversarial resilience
Reduce AI and LLM security vulnerabilities by adhering to industry standards and emerging AI safety research, evolving policies, testing protocols, and controls
Collaborate with stakeholders across product, data science, cyber, legal, and risk to understand AI use cases and recommend modifications during periods of heightened vulnerability or regulatory change
Conduct discovery, threat modeling, and adversarial testing on generative AI, RAG pipelines, and ML systems to identify vulnerabilities such as prompt injection, jailbreaking, and data poisoning
Define and implement AI red teaming methodologies, playbooks, and success metrics, establishing mechanisms for continuous testing and safe rollout of new AI models and features
Collaborate within a cross-functional team to develop relationships, influence senior stakeholders, and drive alignment on AI risk tolerance and mitigation priorities

Required Qualifications, Capabilities And Skills

Formal training or certification on security engineering concepts and 3+ years applied experience
Experience with threat modeling, discovery, vulnerability, and penetration testing (e.g., MITRE ATLAS, OWASP Top 10 for LLMs) and foundational cybersecurity concepts such as IAM, Authentication, OIDC, SAML
Practical experience with Infrastructure as Code (IaC) solutions like Terraform and CloudFormation
Proficiency in Python scripting
Strong understanding of AI/ML concepts and trends, with knowledge of AI red teaming foundational concepts to design and implement exercises for complex AI architectures
Ability to conceptualize, design, validate, and communicate creative technical solutions to enterprise-level security problems, including building internal tools, dashboards, and automation for red teaming activities

Preferred Qualifications, Capabilities And Skills

Expertise in planning, designing, and implementing AI red teaming exercises and enterprise-level security solutions for generative AI, LLMs, and ML systems
Experience with specialized AI security/red teaming tools and frameworks (e.g., PyRIT, Garak, custom LLM evaluation harnesses) and contributions to AI security or open-source security projects

ABOUT US

Security Engineer III - AIML