Security Engineer III - AI/ML

JPMorgan Chase & Co.
Plano, United States of America
yesterday

Role details

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

Job location

Plano, United States of America

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Application Integration Architecture
Azure
Cloud Computing
Computer Security
Databases
Data Visualization
DevOps
Python
PostgreSQL
Machine Learning
MongoDB
MySQL
NoSQL
NumPy
OpenCV
Performance Tuning
Systems Development Life Cycle
Recommender Systems
TensorFlow
Next.js
Secure Coding
Data Processing
Google Cloud Platform
Spring Cloud
PyTorch
React
Flask
Large Language Models
Prompt Engineering
Deep Learning
Model Validation
Backend
Gitlab
Pandas
Scikit Learn
Kubernetes
HuggingFace
Production Code
Front End Software Development
Multiaccess Edge Computing
Automation Anywhere
Docker
Jenkins
Vulnerability Analysis

Job description

As a Security Engineer III - AI/ML at JPMorgan Chase within the Cybersecurity Technology & Controls, you serve as a seasoned member of a team that works to deliver cutting edge machine learning and AI solutions. You will work on scalable backend systems, real-time prediction models, and advanced automation flows, driving measurable business impact across multiple domains. You will also ensure that AI models and workflows adhere to cybersecurity best practices in support of the firm's business objectives., * Lead the end-to end design, development, and deployment of machine learning models and platforms, including LLMs, GANs, and recommendation engines.

  • Design, develop, and fine-tune AI/ML models for real-time user behavior prediction, churn reduction, and customer experience automation.
  • Uses enterprise-authorized AI capabilities within the work environment to accelerate security analysis and vulnerability assessment documentation, validating outputs and ensuring sensitive data is handled appropriately.
  • Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
  • Applies approved tools to analyze and correlate incident data to identify, interpret, and summarize probability and impact of threats when determining specific vulnerabilities
  • Leads delivery of continuity-related awareness, training and educational activities, and exercises
  • Applies reuse-first, AI-assisted practices within SDLC/toolchain routines to strengthen security testing and control validation, ensuring traceability/auditability and alignment to resiliency and security expectations.
  • Apply RAG concepts, prompt engineering, anomaly detection, and changepoint detection to solve complex business problems.
  • Develop and maintain scalable cloud-native applications on AWS, Azure, or Google Cloud.
  • Build robust and scalable APIs for integrating machine learning models and backend systems.
  • Implement cybersecurity controls to safeguard AI workflows and ensure compliance.

Requirements

  • Formal training or certification and 3+ years of experience with AI models and workflows
  • Advanced proficiency in Python and relevant libraries (Pandas, NumPy).
  • Hands-on experience with frameworks and libraries including TensorFlow, PyTorch, BERT/LLMs, Hugging Face, OpenCV, scikit-learn, SKLearn, Pandas, Flask and React.
  • Expertise in cloud and DevOps technologies, including AWS, Google Cloud, Azure, Docker, Kubernetes, Jenkins, and GitLab.
  • Skilled in working with databases such as MySQL, MongoDB, PostgreSQL, and NoSQL systems.
  • Strong background in data science and AI, covering deep learning, NLP, GenAI, RAG concepts, prompt engineering, and data visualization.
  • Experience in secure coding, model validation, and data privacy.
  • Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support security engineering workflows with strong validation habits and awareness of data sensitivity.
  • Ability to review and validate AI-assisted code/security recommendations before use, escalating when uncertain and following security and data handling requirements.
  • Excellent problem-solving, communication, and teamwork skills.

Preferred qualifications, capabilities, and skills

  • Experience with LLM fine-tuning, prompt engineering, and multi-modal AI integration.
  • Familiarity with CI/CD pipelines and automation tools.
  • Knowledge of frontend frameworks (React, Next.js).
  • Certifications in AI/ML, Kubernetes, AWS, or cybersecurity.
  • Exposure to cybersecurity frameworks and compliance standards.

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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