Description We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a System Languages Lead Software Engineer at JPMorgan Chase with the Global Technology Sustainability Program, you are an integral part of an agile team that works to innovate, experiment, build, and deliver trusted market-leading technology products in a secure, stable, scalable and sustainable way. As a core technical contributor, you will lead language innovation to enhance efficiency, work with business partners to conduct research, and discover ways to promote sustainable coding patterns. Your responsibilities also include collaborating with AI/ML Center of Excellence to identify techniques for optimizing AI/ML models and governance. Job responsibilities Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Be a creative thinker capable of identifying solutions analysing inefficiencies in languages and developing innovative, sustainable solutions to optimise software performance including AI/ML. Role encompasses R&D as well as engaging with the engineering community to share knowledge and drive change 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 architecture Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies Adds to team culture of diversity, equity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and mid level applied experience Hands-on practical experience delivering system design, application development, testing, and operational stability Advanced in one or more programming language(s) especially in system languages Knowledge of code execution (compiler, bytecode, cross compilers, language virtual machines) technologies Advanced understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Apply AI/ML optimization approaches engineers e.g., pruning, quantization, fine-tuning, and prompt engineering. Preferred qualifications, capabilities, and skills Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience; advanced degree preferred.