Lead Security Engineer - Artificial Intelligence
Company: JPMorganChase
Location: Plano
Posted on: April 1, 2026
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Job Description:
Description 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. 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.
Keywords: JPMorganChase, Arlington , Lead Security Engineer - Artificial Intelligence, IT / Software / Systems , Plano, Texas
