As a Lead Architect at JPMorgan Chase within the Chief Data and Analytics Office, AIML Data Platforms Team, you are 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