DescriptionAs 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.
Required Experience:
Senior IC
DescriptionAs 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 circumve...
DescriptionAs 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.
Required Experience:
Senior IC
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