As a Lead Architect at JPMorgan Chase within the Chief Data and Analytics Office, AIML Data Platforms Team, youare an integral part of a team that works to develop high-quality architecture solutions for AI/ML and Generative AI platform and applications. As a core technical contributor, you are responsible for conducting critical architecture solutions across multiple technical areas within various business functions in support of project goals.
Job responsibilities
* Engages technical teams and business stakeholders to discuss and propose technical approaches to meet current and future needs
* Defines the technical target state of their product and drives achievement of the strategy
* Participates in architecture governance bodies
* Evaluates recommendations and provides feedback on new technologies
* Executes creative software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems
* Develops secure and high-quality production code, and reviews and debugs code written by others
* Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
* 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
Required qualifications, capabilities, and skills
* Formal training or certification on architecture concepts and advanced applied experience
* Proficiency in Solutions architecture and Platform architecture
* Hands-on practical experience delivering system design, application development, testing, and operational stability
* Advanced in Python programming. Java is also acceptable.
* Proficiency in automation and continuous delivery methods
* Demonstrated experience with AI App / GenAI App Builder as an AI Practitioner
* Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
* Proficient knowledge in AWS with accompanying AWS certification
* In-depth knowledge of the financial services industry and their IT systems
* Practical cloud native experience
* Advanced knowledge of one or more software, applications, and architecture disciplines
* Ability to evaluate current and emerging technologies to recommend the best solutions for the future state architecture
Preferred qualifications, capabilities, and skills
* Theoretical knowledge or hand-on experience with Model building / ML Engineering including finetuning of Large Language Models (LLM’s) is highly preferable
* Knowledge of Azure
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