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Lead Security Engineer - AI/ML

JP Morgan Chase

Software and Technology Jobs

Lead Security Engineer - AI/ML

full-timePosted: Nov 14, 2025

Job Description

Lead Security Engineer - AI/ML

Location: Plano, TX, United States

Job Family: Security Engineering

About the Role

At JP Morgan Chase, we are at the forefront of leveraging artificial intelligence and machine learning to drive innovation in financial services, from enhancing fraud detection to optimizing investment strategies. As a Lead Security Engineer - AI/ML in our Plano, TX office, you will play a pivotal role in safeguarding these cutting-edge technologies against evolving cyber threats. This position demands a strategic leader who can integrate robust security practices into the AI/ML development lifecycle, ensuring our banking platforms remain resilient, compliant, and trustworthy for millions of customers worldwide. You will report to the Head of AI Security and collaborate with elite teams across technology, risk, and compliance to protect sensitive financial data and models. Your core responsibilities will include leading the assessment and mitigation of risks in AI/ML systems, such as model inversion attacks, data poisoning, and adversarial manipulations that could impact trading algorithms or customer personalization features. You will architect secure pipelines for model training and deployment on cloud infrastructures, adhering to stringent regulations like SOX and PCI-DSS. By fostering a culture of security-first innovation, you will mentor engineers, conduct advanced threat simulations, and contribute to JP Morgan Chase's AI governance framework, ultimately fortifying our position as a leader in secure financial technology. This role offers an unparalleled opportunity to influence the future of AI in banking while enjoying the stability and resources of a global powerhouse. If you thrive in high-impact environments and are passionate about securing AI/ML for real-world financial applications, join us in Plano to shape a safer digital economy.

Key Responsibilities

  • Lead the design and implementation of security controls for AI/ML models deployed in JP Morgan Chase's financial platforms
  • Conduct threat modeling and risk assessments for AI/ML systems to identify vulnerabilities in model training, inference, and data pipelines
  • Collaborate with cross-functional teams including data scientists, software engineers, and compliance officers to integrate security into the AI/ML lifecycle
  • Develop and maintain secure AI/ML frameworks, ensuring compliance with financial regulations such as PCI-DSS and GDPR
  • Investigate and respond to security incidents involving AI/ML components, including adversarial attacks and data poisoning
  • Mentor junior security engineers and drive security awareness training focused on AI/ML technologies
  • Evaluate and recommend tools for AI/ML security monitoring, such as anomaly detection systems tailored to banking fraud prevention
  • Contribute to the firm's AI governance policies, emphasizing secure and ethical deployment in trading, lending, and customer analytics
  • Perform code reviews and security audits on AI/ML repositories to uphold JP Morgan Chase's standards for data privacy and integrity
  • Stay abreast of emerging threats in AI/ML security and propose innovative defenses for the financial services industry

Required Qualifications

  • Bachelor's degree in Computer Science, Cybersecurity, or a related field; advanced degree preferred
  • 8+ years of experience in security engineering, with at least 3 years focused on AI/ML security
  • Proven track record of leading security initiatives in a large-scale financial institution or similar high-stakes environment
  • Deep knowledge of AI/ML frameworks such as TensorFlow, PyTorch, and scikit-learn, including their security implications
  • Experience with threat modeling, vulnerability assessments, and secure coding practices for AI/ML systems
  • Familiarity with regulatory compliance standards like GDPR, PCI-DSS, and SOX in the financial services sector
  • Strong understanding of cloud security in AWS, Azure, or GCP environments

Preferred Qualifications

  • Master's or PhD in AI, Machine Learning, or Cybersecurity
  • Certifications such as CISSP, CISM, or AWS Certified Security - Specialty
  • Experience with adversarial AI attacks and defenses in production financial systems
  • Prior leadership role in securing AI/ML models for fraud detection or risk management
  • Knowledge of ethical AI practices and bias mitigation in banking applications

Required Skills

  • Proficiency in Python and R for AI/ML security scripting
  • Expertise in machine learning algorithms and neural networks
  • Knowledge of cryptography and secure data handling in financial contexts
  • Experience with containerization and orchestration tools like Docker and Kubernetes
  • Strong analytical and problem-solving abilities for threat detection
  • Excellent communication skills for stakeholder collaboration
  • Familiarity with SIEM tools and log analysis for security monitoring
  • Understanding of federated learning and privacy-preserving ML techniques
  • Leadership and team management skills
  • Adaptability to fast-paced, regulated environments
  • Proficiency in version control systems like Git
  • Knowledge of API security and microservices architecture
  • Experience with automated testing frameworks for security
  • Ethical hacking and penetration testing skills focused on AI systems
  • Project management abilities using Agile methodologies

Benefits

  • Competitive base salary and performance-based annual bonuses
  • Comprehensive health, dental, and vision insurance plans
  • 401(k) retirement savings plan with generous company matching
  • Paid time off including vacation, sick days, and parental leave
  • Professional development opportunities with tuition reimbursement and access to internal training programs
  • Employee stock purchase plan and financial wellness resources
  • On-site fitness centers, wellness programs, and mental health support
  • Flexible work arrangements including hybrid options in Plano, TX

JP Morgan Chase is an equal opportunity employer.

Locations

  • Plano, US

Salary

Estimated Salary Rangehigh confidence

220,000 - 350,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Proficiency in Python and R for AI/ML security scriptingintermediate
  • Expertise in machine learning algorithms and neural networksintermediate
  • Knowledge of cryptography and secure data handling in financial contextsintermediate
  • Experience with containerization and orchestration tools like Docker and Kubernetesintermediate
  • Strong analytical and problem-solving abilities for threat detectionintermediate
  • Excellent communication skills for stakeholder collaborationintermediate
  • Familiarity with SIEM tools and log analysis for security monitoringintermediate
  • Understanding of federated learning and privacy-preserving ML techniquesintermediate
  • Leadership and team management skillsintermediate
  • Adaptability to fast-paced, regulated environmentsintermediate
  • Proficiency in version control systems like Gitintermediate
  • Knowledge of API security and microservices architectureintermediate
  • Experience with automated testing frameworks for securityintermediate
  • Ethical hacking and penetration testing skills focused on AI systemsintermediate
  • Project management abilities using Agile methodologiesintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Cybersecurity, or a related field; advanced degree preferred (experience)
  • 8+ years of experience in security engineering, with at least 3 years focused on AI/ML security (experience)
  • Proven track record of leading security initiatives in a large-scale financial institution or similar high-stakes environment (experience)
  • Deep knowledge of AI/ML frameworks such as TensorFlow, PyTorch, and scikit-learn, including their security implications (experience)
  • Experience with threat modeling, vulnerability assessments, and secure coding practices for AI/ML systems (experience)
  • Familiarity with regulatory compliance standards like GDPR, PCI-DSS, and SOX in the financial services sector (experience)
  • Strong understanding of cloud security in AWS, Azure, or GCP environments (experience)

Preferred Qualifications

  • Master's or PhD in AI, Machine Learning, or Cybersecurity (experience)
  • Certifications such as CISSP, CISM, or AWS Certified Security - Specialty (experience)
  • Experience with adversarial AI attacks and defenses in production financial systems (experience)
  • Prior leadership role in securing AI/ML models for fraud detection or risk management (experience)
  • Knowledge of ethical AI practices and bias mitigation in banking applications (experience)

Responsibilities

  • Lead the design and implementation of security controls for AI/ML models deployed in JP Morgan Chase's financial platforms
  • Conduct threat modeling and risk assessments for AI/ML systems to identify vulnerabilities in model training, inference, and data pipelines
  • Collaborate with cross-functional teams including data scientists, software engineers, and compliance officers to integrate security into the AI/ML lifecycle
  • Develop and maintain secure AI/ML frameworks, ensuring compliance with financial regulations such as PCI-DSS and GDPR
  • Investigate and respond to security incidents involving AI/ML components, including adversarial attacks and data poisoning
  • Mentor junior security engineers and drive security awareness training focused on AI/ML technologies
  • Evaluate and recommend tools for AI/ML security monitoring, such as anomaly detection systems tailored to banking fraud prevention
  • Contribute to the firm's AI governance policies, emphasizing secure and ethical deployment in trading, lending, and customer analytics
  • Perform code reviews and security audits on AI/ML repositories to uphold JP Morgan Chase's standards for data privacy and integrity
  • Stay abreast of emerging threats in AI/ML security and propose innovative defenses for the financial services industry

Benefits

  • general: Competitive base salary and performance-based annual bonuses
  • general: Comprehensive health, dental, and vision insurance plans
  • general: 401(k) retirement savings plan with generous company matching
  • general: Paid time off including vacation, sick days, and parental leave
  • general: Professional development opportunities with tuition reimbursement and access to internal training programs
  • general: Employee stock purchase plan and financial wellness resources
  • general: On-site fitness centers, wellness programs, and mental health support
  • general: Flexible work arrangements including hybrid options in Plano, TX

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JP Morgan Chase logo

Lead Security Engineer - AI/ML

JP Morgan Chase

Software and Technology Jobs

Lead Security Engineer - AI/ML

full-timePosted: Nov 14, 2025

Job Description

Lead Security Engineer - AI/ML

Location: Plano, TX, United States

Job Family: Security Engineering

About the Role

At JP Morgan Chase, we are at the forefront of leveraging artificial intelligence and machine learning to drive innovation in financial services, from enhancing fraud detection to optimizing investment strategies. As a Lead Security Engineer - AI/ML in our Plano, TX office, you will play a pivotal role in safeguarding these cutting-edge technologies against evolving cyber threats. This position demands a strategic leader who can integrate robust security practices into the AI/ML development lifecycle, ensuring our banking platforms remain resilient, compliant, and trustworthy for millions of customers worldwide. You will report to the Head of AI Security and collaborate with elite teams across technology, risk, and compliance to protect sensitive financial data and models. Your core responsibilities will include leading the assessment and mitigation of risks in AI/ML systems, such as model inversion attacks, data poisoning, and adversarial manipulations that could impact trading algorithms or customer personalization features. You will architect secure pipelines for model training and deployment on cloud infrastructures, adhering to stringent regulations like SOX and PCI-DSS. By fostering a culture of security-first innovation, you will mentor engineers, conduct advanced threat simulations, and contribute to JP Morgan Chase's AI governance framework, ultimately fortifying our position as a leader in secure financial technology. This role offers an unparalleled opportunity to influence the future of AI in banking while enjoying the stability and resources of a global powerhouse. If you thrive in high-impact environments and are passionate about securing AI/ML for real-world financial applications, join us in Plano to shape a safer digital economy.

Key Responsibilities

  • Lead the design and implementation of security controls for AI/ML models deployed in JP Morgan Chase's financial platforms
  • Conduct threat modeling and risk assessments for AI/ML systems to identify vulnerabilities in model training, inference, and data pipelines
  • Collaborate with cross-functional teams including data scientists, software engineers, and compliance officers to integrate security into the AI/ML lifecycle
  • Develop and maintain secure AI/ML frameworks, ensuring compliance with financial regulations such as PCI-DSS and GDPR
  • Investigate and respond to security incidents involving AI/ML components, including adversarial attacks and data poisoning
  • Mentor junior security engineers and drive security awareness training focused on AI/ML technologies
  • Evaluate and recommend tools for AI/ML security monitoring, such as anomaly detection systems tailored to banking fraud prevention
  • Contribute to the firm's AI governance policies, emphasizing secure and ethical deployment in trading, lending, and customer analytics
  • Perform code reviews and security audits on AI/ML repositories to uphold JP Morgan Chase's standards for data privacy and integrity
  • Stay abreast of emerging threats in AI/ML security and propose innovative defenses for the financial services industry

Required Qualifications

  • Bachelor's degree in Computer Science, Cybersecurity, or a related field; advanced degree preferred
  • 8+ years of experience in security engineering, with at least 3 years focused on AI/ML security
  • Proven track record of leading security initiatives in a large-scale financial institution or similar high-stakes environment
  • Deep knowledge of AI/ML frameworks such as TensorFlow, PyTorch, and scikit-learn, including their security implications
  • Experience with threat modeling, vulnerability assessments, and secure coding practices for AI/ML systems
  • Familiarity with regulatory compliance standards like GDPR, PCI-DSS, and SOX in the financial services sector
  • Strong understanding of cloud security in AWS, Azure, or GCP environments

Preferred Qualifications

  • Master's or PhD in AI, Machine Learning, or Cybersecurity
  • Certifications such as CISSP, CISM, or AWS Certified Security - Specialty
  • Experience with adversarial AI attacks and defenses in production financial systems
  • Prior leadership role in securing AI/ML models for fraud detection or risk management
  • Knowledge of ethical AI practices and bias mitigation in banking applications

Required Skills

  • Proficiency in Python and R for AI/ML security scripting
  • Expertise in machine learning algorithms and neural networks
  • Knowledge of cryptography and secure data handling in financial contexts
  • Experience with containerization and orchestration tools like Docker and Kubernetes
  • Strong analytical and problem-solving abilities for threat detection
  • Excellent communication skills for stakeholder collaboration
  • Familiarity with SIEM tools and log analysis for security monitoring
  • Understanding of federated learning and privacy-preserving ML techniques
  • Leadership and team management skills
  • Adaptability to fast-paced, regulated environments
  • Proficiency in version control systems like Git
  • Knowledge of API security and microservices architecture
  • Experience with automated testing frameworks for security
  • Ethical hacking and penetration testing skills focused on AI systems
  • Project management abilities using Agile methodologies

Benefits

  • Competitive base salary and performance-based annual bonuses
  • Comprehensive health, dental, and vision insurance plans
  • 401(k) retirement savings plan with generous company matching
  • Paid time off including vacation, sick days, and parental leave
  • Professional development opportunities with tuition reimbursement and access to internal training programs
  • Employee stock purchase plan and financial wellness resources
  • On-site fitness centers, wellness programs, and mental health support
  • Flexible work arrangements including hybrid options in Plano, TX

JP Morgan Chase is an equal opportunity employer.

Locations

  • Plano, US

Salary

Estimated Salary Rangehigh confidence

220,000 - 350,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Proficiency in Python and R for AI/ML security scriptingintermediate
  • Expertise in machine learning algorithms and neural networksintermediate
  • Knowledge of cryptography and secure data handling in financial contextsintermediate
  • Experience with containerization and orchestration tools like Docker and Kubernetesintermediate
  • Strong analytical and problem-solving abilities for threat detectionintermediate
  • Excellent communication skills for stakeholder collaborationintermediate
  • Familiarity with SIEM tools and log analysis for security monitoringintermediate
  • Understanding of federated learning and privacy-preserving ML techniquesintermediate
  • Leadership and team management skillsintermediate
  • Adaptability to fast-paced, regulated environmentsintermediate
  • Proficiency in version control systems like Gitintermediate
  • Knowledge of API security and microservices architectureintermediate
  • Experience with automated testing frameworks for securityintermediate
  • Ethical hacking and penetration testing skills focused on AI systemsintermediate
  • Project management abilities using Agile methodologiesintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Cybersecurity, or a related field; advanced degree preferred (experience)
  • 8+ years of experience in security engineering, with at least 3 years focused on AI/ML security (experience)
  • Proven track record of leading security initiatives in a large-scale financial institution or similar high-stakes environment (experience)
  • Deep knowledge of AI/ML frameworks such as TensorFlow, PyTorch, and scikit-learn, including their security implications (experience)
  • Experience with threat modeling, vulnerability assessments, and secure coding practices for AI/ML systems (experience)
  • Familiarity with regulatory compliance standards like GDPR, PCI-DSS, and SOX in the financial services sector (experience)
  • Strong understanding of cloud security in AWS, Azure, or GCP environments (experience)

Preferred Qualifications

  • Master's or PhD in AI, Machine Learning, or Cybersecurity (experience)
  • Certifications such as CISSP, CISM, or AWS Certified Security - Specialty (experience)
  • Experience with adversarial AI attacks and defenses in production financial systems (experience)
  • Prior leadership role in securing AI/ML models for fraud detection or risk management (experience)
  • Knowledge of ethical AI practices and bias mitigation in banking applications (experience)

Responsibilities

  • Lead the design and implementation of security controls for AI/ML models deployed in JP Morgan Chase's financial platforms
  • Conduct threat modeling and risk assessments for AI/ML systems to identify vulnerabilities in model training, inference, and data pipelines
  • Collaborate with cross-functional teams including data scientists, software engineers, and compliance officers to integrate security into the AI/ML lifecycle
  • Develop and maintain secure AI/ML frameworks, ensuring compliance with financial regulations such as PCI-DSS and GDPR
  • Investigate and respond to security incidents involving AI/ML components, including adversarial attacks and data poisoning
  • Mentor junior security engineers and drive security awareness training focused on AI/ML technologies
  • Evaluate and recommend tools for AI/ML security monitoring, such as anomaly detection systems tailored to banking fraud prevention
  • Contribute to the firm's AI governance policies, emphasizing secure and ethical deployment in trading, lending, and customer analytics
  • Perform code reviews and security audits on AI/ML repositories to uphold JP Morgan Chase's standards for data privacy and integrity
  • Stay abreast of emerging threats in AI/ML security and propose innovative defenses for the financial services industry

Benefits

  • general: Competitive base salary and performance-based annual bonuses
  • general: Comprehensive health, dental, and vision insurance plans
  • general: 401(k) retirement savings plan with generous company matching
  • general: Paid time off including vacation, sick days, and parental leave
  • general: Professional development opportunities with tuition reimbursement and access to internal training programs
  • general: Employee stock purchase plan and financial wellness resources
  • general: On-site fitness centers, wellness programs, and mental health support
  • general: Flexible work arrangements including hybrid options in Plano, TX

Target Your Resume for "Lead Security Engineer - AI/ML" , JP Morgan Chase

Get personalized recommendations to optimize your resume specifically for Lead Security Engineer - AI/ML. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Lead Security Engineer - AI/ML" , JP Morgan Chase

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

Security EngineeringFinancial ServicesBankingJP MorganSecurity Engineering

Answer 10 quick questions to check your fit for Lead Security Engineer - AI/ML @ JP Morgan Chase.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.