Applied AI ML Researcher Director

JPMorgan Chase JPMorgan Chase · Banking · New York, NY +1 · Commercial & Investment Bank

JPMorgan Chase is seeking an Applied AI ML Researcher Director to lead the development of next-generation autonomous agents for the financial industry. This role involves architecting and deploying agentic AI solutions, mentoring a team, and ensuring scalability and reliability in a production environment. The focus is on bridging cutting-edge theory with enterprise-grade systems.

What you'd actually do

  1. Architect and develop GenAI and agentic solutions to automate complex operational processes
  2. Deliver multiple agents that collaborate to solve large, complex problems, orchestrate end-to-end workflows, and scale across JPMC
  3. Design and build services and libraries that AI teams want to use
  4. Mentor and inspire a team of AI engineers, fostering a culture of excellence, innovation, and continuous learning
  5. Ensure the scalability, reliability, and security of AI/ML solutions in a production environment, with a focus on long-term sustainability

Skills

Required

  • PhD in Computer Science or a related quantitative discipline with 8+ years of relevant experience or MS in Computer Science or a related field with 12+ years of relevant experience
  • Research experience or work in a top commercial AI research lab
  • 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, and 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

Nice to have

  • Experience deploying models on AWS platforms such as SageMaker or Bedrock

What the JD emphasized

  • architects who will define the future of banking through Agentic AI
  • large-scale, deployable systems
  • production environment at scale
  • scale across JPMC
  • scalability, reliability, and security of AI/ML solutions in a production environment
  • building and leading high-performing AI teams

Other signals

  • autonomous agents
  • agentic AI
  • frontier models
  • GenAI
  • large-scale deployable systems
  • production environment at scale