Lead Security Engineer - Artificial Intelligence

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 - Artificial Intelligence 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 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


* 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.

Required Qualifications, Capabilities, and Skills


* 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.
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