What are the responsibilities and job description for the Lead Security Engineer - AI/ML position at JPMorgan Chase?
As a Lead AIML Security Engineer at JPMorgan Chase within the Cybersecurity and Technology Controls organization, you are an integral part of a team that works to deliver software solutions that satisfy functional and user requirements with the added dimension of preventing misuse, circumvention, and malicious behavior.
Job responsibilities
- Builds AIML technical controls software solutions: design, development, and technical troubleshooting across multiple cloud platforms (AWS, Azure, GCP), with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems
- Develops secure high-quality production code, and reviews and debugs code written by others
- Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
- Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
- Contributes to software engineering communities of practice and events that explore new and emerging technologies
- Adds to team culture of diversity, opportunity, inclusion, and respect
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5 years applied experience
- Advanced in one or more programming language(s): Python, Java, Golang
- Extensive practical experience with at least one public cloud (Google Cloud Platform, Amazon Web Services)
- Hands on practical experience in system design, application development, testing, and operational stability across AWS, Azure, and GCP
- Subject matter expert in securing AIML systems with practical experience in AI and machine learning technologies
- Knowledgeable in AI safety, AI alignment, AI cybersecurity concepts, and trends, including GenAI security
- Ability to tackle design and functionality problems independently with little to no oversight
- Proficient in all aspects of the Software Development Life Cycle
- Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
Preferred qualifications, capabilities, and skills
- Experience designing, deploying, and managing solutions across AWS, Azure, and GCP.
- Google Cloud Professional is a plus.