Security Engineer III, AI/ML

JPMorgan Chase

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Work type
On-site
Location
Plano, TX
Posted
today

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How this pay compares to similar roles

Similar $185k
$126k most similar roles pay here $236k

This listing doesn't post a salary. Most similar roles pay $151,475–$219,131.

Based on 240 similar postings.

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About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 439 open roles on FindRole.

Listed pay typically runs $148,625–$212,500 across 228 roles with salary data.

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At a glance

TL;DR · Security Engineer III, AI/ML

As a Security Engineer III - AI/ML at JPMorgan Chase within the Cybersecurity Technology & Controls team, you will lead the design, development, and deployment of advanced machine learning models and platforms, including LLMs and GANs, to enhance real-time prediction and automation. You will work on scalable backend systems and APIs, ensuring that all AI workflows comply with cybersecurity best practices while using tools like TensorFlow, PyTorch, and Hugging Face. Your responsibilities include applying RAG concepts for anomaly detection and changepoint analysis, developing cloud-native applications on AWS or Azure, and maintaining robust DevOps pipelines with Docker and Kubernetes. With a strong background in data science, deep learning, and NLP, you will contribute to the firm’s security by validating AI-assisted code and ensuring compliance with cybersecurity frameworks and standards.

What you'll do

  • Lead the design, development, and deployment of advanced machine learning models and platforms.
  • Develop real-time prediction models for user behavior analysis and customer experience automation.
  • Ensure AI/ML workflows comply with cybersecurity best practices and regulatory requirements.
  • Apply RAG concepts, prompt engineering, and anomaly detection to solve complex business issues.
  • Build scalable APIs and cloud-native applications on major public clouds (AWS, Azure, Google Cloud).
  • Implement robust cybersecurity controls to safeguard AI systems and ensure compliance.

What we're looking for

  • 3+ years of experience with AI models and workflows, including formal training or certification.
  • Advanced proficiency in Python and relevant libraries (Pandas, NumPy) for AI development.
  • Expertise in cloud technologies (AWS, Azure, Google Cloud), DevOps tools (Docker, Kubernetes).
  • Strong background in data science, deep learning, NLP, GenAI, RAG concepts, prompt engineering.
  • Experience in secure coding, model validation, and ensuring compliance with cybersecurity standards.

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