Senior AI/ML Security Architect – Platform Security Leader

Fairygodboss; Plano (TX); On-site; USD 180,000 - 260,000; Full time

Job summary

JPMorganChase is seeking an experienced AI Systems Cybersecurity Architect to advance safe and secure AI at enterprise scale. You will partner with product, engineering and risk stakeholders to drive risk-aligned AI security across the model development lifecycle and agent runtimes.

You will help set technical direction through design reviews, guidance, and measurable risk reduction while collaborating with a team of security and AI professionals for a long-term career within the firm.

Qualifications

• 5 years of applied experience in cybersecurity architecture and/or securing AI/ML systems.
• Cloud-native experience in AWS, GCP and/or Azure with public cloud AI/ML services and enterprise security patterns.
• Advanced proficiency in one or more programming languages with ability to review code for security and resilience.
• In-depth knowledge of AI/ML and MDLC including data prep, training, testing, serving, and MLOps.
• Experience with AI concepts, notebooks, Python, TensorFlow and PyTorch.
• Knowledge of AI safety concepts, trends, and practical controls.

Responsibilities

• Develop and enhance security strategies, red-teaming programs, and designs across AI platforms and agent workflows.
• Review secure designs and code to ensure adversarial resilience and secure-by-default patterns.
• Reduce vulnerabilities across AI/LLM/agent lifecycles and implement risk-based controls.
• Collaborate with product, data science, cyber, legal, and risk to align AI risk and mitigation priorities.

Skills

Cybersecurity architecture

AI/ML security

Cloud security

Threat modeling

Secure design

MLOps

Education

AWS/Microsoft/Azure certifications

CISSP

Tools

Docker

Kubernetes

Terraform

Job description

JPMorganChase is seeking an experienced AI Systems Cybersecurity Architect to advance safe and secure AI at enterprise scale. You will partner with product, engineering and risk stakeholders to drive risk-aligned AI security across the model development lifecycle and agent runtimes.

You will help set technical direction through design reviews, guidance, and measurable risk reduction while collaborating with a team of security and AI professionals for a long-term career within the firm.