Applied AI/ML Director Researcher

Our goal is to build the next generation of AI: autonomous agents that can reason, plan, act and learn to solve critical problems for an industry leading financial institution. We are looking for architects who will define the future of banking through Agentic AI.

As an Applied AI/ML Director Researcher at JPMorganChase in the Applied Artificial Intelligence and Machine Learning team in Commercial and Investment Banking you will transform operations by leveraging the latest advancements in agentic AI and frontier models. This is a role for a builder, a scientific pioneer and mentor who can bridge the gap between leading edge theory and enterprise-grade, large-scale, deployable systems.

Job Responsibilities

• Architects and develops GenAI and Agentic solutions to automate complex operational processes
• Assists JPMorganChase (JPMC) Lines of Business and teams to directly solve for priority use cases within the domain
• Delivers multiple agents that can collaborate to solve large, complex problems, orchestrate end to end workflows and scale across JPMC
• Designs and build services and libraries that AI teams want to use
• Mentors and inspire a team of AI engineers, fostering a culture of excellence, innovation, and continuous learning
• Ensures the scalability, reliability, and security of AI/ML solutions in a production environment, with a focus on long-term sustainability
• Collaborates with stakeholders and technical partners across Lines of Business and firmwide to scale solutions and maximize impact

Required qualifications, capabilities and skills

• Research experience or have worked in one of the top commercial AI research labs, in a Director level or equivalent role
• Deep understanding of AI fundamentals and practical experience with data analysis and experimental design
• Proven track record of deploying AI/ML applications in a production environment at scale
• Familiarity with distributed computing patterns for training, serving, persistence of state
• Experience integrating user feedback to establish agentic refinement and self-improving AI applications
• Experience in building and leading high-performing AI teams

Preferred qualifications, capabilities and skills

• PhD preferred but not required
• Expertise in deploying models on AWS platforms such as SageMaker or Bedrock will be strongly considered, but not required