Join a team where your expertise in AI/ML security shapes the future of technology. Grow your career with us as you secure innovative solutions.

As a Security Engineer II at JPMorgan Chase within the Cybersecurity team, you will play a critical role in safeguarding our AI and Machine Learning systems. You will collaborate with talented professionals to identify vulnerabilities, define security controls, and engineer tools that enhance our security posture. You will help us stay ahead of emerging threats while contributing to a culture of innovation and continuous learning. You will be empowered to make a meaningful impact on our technology and our clients.

Job responsibilities

Design and deliver cybersecurity software solutions as part of an agile team
Identify vulnerabilities and define security controls for AI/ML deployments
Engineer tools to enhance the security of AI/ML systems
Conduct AI red teaming exercises and simulate adversarial attacks on LLMs
Collaborate with cross-functional teams to implement security best practices
Develop and maintain code using Java and Python
Build and secure microservices and APIs
Implement cloud security controls using AWS, Azure, and infrastructure as code tools
Apply security architecture requirements across the model development lifecycle
Maintain and optimize SQL databases and stored procedures

Required qualifications, capabilities and skills

Formal training or certification on security engineering concepts and 2+ years applied experience
Bachelor's or Master's degree in Computer Science, Information Security, or related field
Extensive experience in Java and Python development
Proficiency with Spring, Spring Boot, and microservices architecture
Strong understanding of cloud computing concepts and services (AWS, Azure)
Experience with API security and identity access management protocols (OAuth 2.0, OpenID Connect, SAML)
Hands-on experience with containers and orchestration tools (Docker, Kubernetes, Helm)
Proficient in MySQL and SQL programming
Subject matter expertise in securing AI/ML systems and model development lifecycle
Experience with AI/ML technologies (Python, TensorFlow, PyTorch, notebooks)
Excellent problem-solving, written, and verbal communication skills

Preferred qualifications, capabilities and skills

Certifications in cloud security or AI/ML security
Certifications as a cloud developer
Experience with additional cloud platforms and container orchestration tools
Knowledge of AI ethics and responsible AI practices

Security Engineer II - Java, AWS, AI/ML Security