Drimva

JPMorgan Chase

Full Stack Lead Security Engineer

Plano, TX · Full-time · Posted Oct 8, 2026

About the job

Develops and leads security strategies, architectures, and adversarial testing for AI/ML systems and applications, helping reduce vulnerabilities and support safe deployment.

What you'll do

  • Designs and reviews secure AI and software architectures, code, and controls for adversarial resilience.
  • Automates discovery and red-team testing of generative AI, RAG pipelines, and ML systems; establishes methodologies, playbooks, and success metrics.
  • Advises stakeholders on AI risks and mitigations, and coordinates with platform and cloud security teams on secure infrastructure.

What they ask for

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

Nice to have

  • Experience with AI security/red-teaming tools and frameworks such as PyRIT, Garak, or custom LLM evaluation harnesses.
  • Experience with threat modeling, vulnerability and penetration testing, and security concepts such as IAM, Authentication, OIDC, and SAML.

Tools

Bedrock, Terraform, CloudFormation, Python, PyRIT, Garak, MITRE ATLAS, OWASP Top 10 for LLMs

AI focus

AI/ML security work, including red teaming, adversarial testing, vulnerability reduction, and secure design of generative AI, LLM, RAG, and ML systems.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 4, 2026 (UTC)