Senior Applied AI Engineer

Drive the future of banking by leading innovation in AI and machine learning at JPMorgan Chase.

As a Senior Lead Applied AI Engineer at JPMorgan Chase, you will be a key member of an agile team focused on enhancing, building, and delivering trusted, market-leading technology products. You will leverage deep technical expertise and advanced problem-solving skills to drive significant business impact, architecting and implementing scalable, secure, and high-quality machine learning solutions.

Job Responsibilities

• Provide regular technical guidance and direction to business units, technical teams, contractors, and vendors.
• Serve as a function-wide subject matter expert in one or more areas of focus.
• Act as a thought leader and trusted advisor to executive leadership, offering strategic recommendations on machine learning initiatives.
• Develop secure, high-quality production code.
• Review and debug code written by others to ensure best practices and code quality.
• Promote software and model quality, integrity, and security across the organization.
• Drive decisions influencing product design, application functionality, and technical operations.
• Architect and oversee the development of next-generation machine learning models and systems using cutting-edge technologies.
• Ensure the platform supports complex use cases, including real-time predictions, big data processing, and advanced analytics.
• Drive innovation in machine learning solutions, ensuring scalability, flexibility, and future-proof architecture.
• Actively contribute to the engineering community as an advocate for firmwide frameworks, tools, and Software Development Life Cycle (SDLC) practices.

Required qualifications, capabilities and skills

• Formal training or certification onsoftware engineeringconcepts and 5+ years applied experience

• Proven experience in technical leadership and providing guidance to engineering teams.
• Strong expertise in developing, reviewing, and debugging secure, high-quality production code.
• Deep knowledge of machine learning, big data processing, and advanced analytics.
• Experience architecting scalable and flexible machine learning platforms.
• Demonstrated ability to drive innovation and influence technology adoption.
• Excellent communication skills, with the ability to advise executive leadership.

Preferred Qualifications

• Experience in the financial services industry, particularly in consumer and community banking.
• Familiarity with firmwide frameworks, tools, and SDLC best practices.
• Track record of contributing to the engineering community and promoting best practices.