Lead Security Engineer AI Red Team

Take on a crucial role whereyoullbe 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 worlds largest and most influential a Lead Security Engineer at JPMorgan Chase within the Cybersecurity & Technology Controls for AI/ML 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 maliciousbehavior. As a core technical contributor youare responsible forcarrying out critical technology solutions with tamper-proof audit defensible methods across multiple technical areas within various business functions.

• Develop and enhance security strategies red teaming programs and solution designs while 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.
• Provide guidance on secure design logging monitoring and compensating controls for AI applications and platforms.
• 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.
• Work with platform and cloud security teams to ensure secure infrastructure configuration and alignment with enterprise security architecture.
• Engage with external researchers vendors and standards bodies to track emerging AI threats and bring best practices into the organization.
• Foster a team culture of diversity equity inclusion and respect.
• Collaborate within a cross-functional team to develop relationships influence senior stakeholders and drive alignment on AI risk tolerance and mitigation priorities.

• Formal training or certification in Public Cloud environment concepts and advanced hands-on experience with cloud-native AI services (e.g. Bedrock).
• 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.

• 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.