Lead Security Engineer - Red Team

JPMorgan Chase & Co.
Plano, TX, United States
2 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours

Tech stack

Artificial Intelligence Software System Penetration Testing User Authentication Automation of Tests Cloud Computing Security Cloud Engineering Cyber Security Identity and Access Management Machine Learning Open Source Technology OpenID Open Web Application Security
+14 more
Software Architecture Red Team (Cyber Security) Software Safety Security Assertion Markup Language (SAML) Software Systems Data Logging Large Language Models Software Security Generative AI Infrastructure as Code (IaC) Cloudformation AI Platforms Machine Learning Operations Terraform

Job 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 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 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., * 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, opportunity, 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.

Requirements

  • 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.

Benefits & conditions

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

About the company

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

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Apply on jpmc.fa.oraclecloud.com
Prepare application

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