Sr. Lead Security Engineer - AI/ML

Description

As a Lead AIML Security Engineer at JPMorgan Chase, you are an integral part of a team that works to develop and deliver software solutions that satisfy functional and user requirements with the added dimension of preventing misuse, circumvention, and malicious behavior.

Job responsibilities

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Develops secure high-quality production code, and reviews and debugs code written by others

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Develops 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 building solutions or breaking down technical problems

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Produces technical design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development

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Leads AI Security product evaluations with external vendors, startups, and internal teams to drive outcomes-oriented probing of designs, technical capabilities, and applicability for use within information system

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Contributes to software engineering communities of practice and events that explore new and emerging technologies

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Adds to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

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Advanced in one or more programming language(s): Python, Java, Golang

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Proficient in all aspects of the Software Development Life Cycle

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Formal training on software engineering concepts and 5+ years applied development/coding experience

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Proficient in cloud infrastructure-as-code (IaC) tools like Terraform

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Knowledgeable in containers and container orchestration technologies such as Docker, Kubernetes, and Helm

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Extensive practical experience with at least one public cloud (Google Cloud Platform, Amazon Web Services)

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Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

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Hands on practical experience in design, application development, testing, and operational stability across AWS, Azure, and GCP

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Practical experience in AI and machine learning technologies

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Knowledgeable in AI safety, AI alignment, AI cybersecurity concepts, and trends, including GenAI security

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Ability to tackle design and functionality problems independently with little to no oversight

Preferred qualifications, capabilities, and skills

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AWS cloud certification(s): AWS Certified Developer – Associate, AWS Certified DevOps Engineer – Professional

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Microsoft cloud certification(s): Azure Developer Associate, DevOps Engineer Expert

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Google cloud certification(s): Professional Cloud Developer, Professional Cloud DevOps Engineer