Applied AI ML Lead Researcher - Commercial and Investment Bank

JPMorgan Chase · Banking · LONDON, LONDON, United Kingdom · Commercial & Investment Bank

Lead Researcher role focused on architecting and developing GenAI and agentic solutions for complex operational processes within a financial institution. The role involves delivering collaborating agents, orchestrating workflows, building reusable services, and mentoring a team, with a strong emphasis on production deployment and scalability.

What you'd actually do

Architect and develop GenAI and agentic solutions to automate complex operational processes
Assist Lines of Business and teams to directly solve priority use cases within the domain
Deliver multiple agents that collaborate to solve large, complex problems, orchestrate end-to-end workflows, and scale across JPMC
Design and build services and libraries that AI teams want to use
Mentor and inspire a team of AI engineers, fostering a culture of excellence, innovation, and continuous learning

Skills

Required

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
PhD level education

What the JD emphasized

architect and develop GenAI and agentic solutions
Deliver multiple agents that collaborate to solve large, complex problems, orchestrate end-to-end workflows, and scale across JPMC
AI teams want to use
production environment at scale
building and leading high-performing AI teams

Other signals

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

Read full job description

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. The Applied Artificial Intelligence and Machine Learning team in Commercial and Investment Banking is transforming operations by leveraging the latest advancements in agentic AI and frontier models.

As an Applied AI ML Lead Researcher in the Applied AI Research team you will be a builder, a scientific pioneer and mentor who bridges the gap between leading edge theory and enterprise-grade, large-scale, deployable systems.

Job Responsibilities:

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

Preferred Qualifications, Capabilities, and Skills:

Experience deploying models on AWS platforms such as SageMaker or Bedrock will be strongly considered, but not required
PhD level education

#CIBAppliedAI

Job Responsibilities:

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

Preferred Qualifications, Capabilities, and Skills:

Experience deploying models on AWS platforms such as SageMaker or Bedrock will be strongly considered, but not required
PhD level education

#CIBAppliedAI