Lead Security Engineer AIML
Lead Security Engineer AIML
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Job Description
Take on a crucial role where youll be a key part of a high-performing team delivering secure software solutions. Make a real impact as you help shape the future of software security at one of the worlds largest and most influential companies.
As a Lead Security Engineer at JPMorgan Chase within the Cybersecurity and technology controls you are an integral part of team that works to deliver software solutions that satisfy pre-defined functional and user requirements with the added dimension of preventing misuse circumvention and malicious behavior. As a core technical contributor you are responsible for carrying out critical technology solutions with tamper-proof audit defensible methods across multiple technical areas within various business functions.
Job responsibilities
- Development and deploy software for AI technology controls in-line with requirements (e.g. model vulnerability management technologies AI firewalls etc.) and integrate the controls into the broader JPMC cybersecurity eco-system
- Hands-on software engineer with extensive development experience in Java and Python coding scripting and development
- Subject matter expert in securing AI/ML systems with practical experience in AI and machine learning technologies
- Solid understanding of AI system attack surfaces threats and mitigating controls throughout the MDLC
- Knowledgeable in AI safety AI alignment AI cybersecurity concepts and trends including GenAI security
- Strong understanding of cloud computing concepts and services including AWS and Azure
- Proficient in cloud infrastructure as code (IaC) tools like Terraform
- Knowledgeable in containers and container orchestration technologies such as Docker Kubernetes and Helm
Required qualifications capabilities and skills
- Formal training or certification on software engineering concepts and 5 years applied experience.
- Hands-on software engineer with extensive development experience in Java and Python coding scripting and development
- Knowledgeable in AI safety AI alignment AI cybersecurity concepts and trends including GenAI security
- Strong understanding of cloud computing concepts and services including AWS and Azure
Preferred qualifications capabilities and skills
- AWS Certified Machine Learning Specialty or Microsoft Certified: Azure Data Scientist Associate
- AWS Certified Security Specialty or Microsoft Certified: Cybersecurity Architect Expert certification
Employment Type
Full-Time
