Sr Lead Software Engineer - AI/ML

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products. As a Senior Lead Software Engineer at JPMorganChase within Cloud Foundation Services, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications. Job responsibilities - Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors - Develops secure and high-quality production code, and reviews and debugs code written by others - Drives decisions that influence the product design, application functionality, and technical operations and processes - Serves as a function-wide subject matter expert in one or more areas of focus - Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle - Influences peers and project decision-makers to consider the use and application of leading-edge technologies - Adds to the 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 - Hands-on practical experience delivering system design, application development, testing, and operational stability - Advanced in one or more programming language(s) - Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) - Ability to tackle design and functionality problems independently with little to no oversight - Practical cloud native experience Preferred qualifications, capabilities, and skills - Practical experience with Code Assists such at GitHub Co-Pilot, Claude Code, or Gemini Code Assist - Product Management, Agile, Scrum experience - Knowledge and practical use of Artificial Intelligence tools such as OpenAI, Grok, or Gemini