Director of Agentic AI & GenAI Solutions

Testing Site - JPMC

Greater London

On-site

GBP 150,000 - 200,000

Full time

14 days+

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Job summary

JPMorganChase in the Applied AI/ML team seeks an Applied AI/ML Director Researcher to transform operations by leveraging agentic AI and frontier models. This role is for a builder, a scientific pioneer and mentor who bridges theory and enterprise-grade, large-scale, deployable systems.

You will lead architecture, guide teams, and partner with business lines to deliver high-impact AI solutions across the firm, with emphasis on scalability, reliability, and responsible innovation.

Qualifications

  • Research in top AI labs, director level or equivalent.
  • Strong AI fundamentals with data analysis and experimental design.
  • Proven track record deploying AI/ML at scale.
  • Familiar with distributed computing for training and serving.
  • Experience integrating user feedback for agentic refinement.
  • Experience building and leading AI teams.

Responsibilities

  • Architects and develops GenAI and Agentic solutions to automate complex processes.
  • Assists lines of business to solve priority use cases.
  • Delivers multiple agents that collaborate to solve large problems.
  • Designs and builds reusable AI services and libraries.
  • Mentors AI engineers to foster excellence and learning.
  • Ensures scalable, reliable, secure AI/ML production deployments.
  • Collaborates with stakeholders to scale solutions and maximize impact.

Skills

AI leadership
GenAI
Agentic AI
Production systems
Distributed compute
Experiment design
Team leadership

Job description

JPMorganChase in the Applied AI/ML team seeks an Applied AI/ML Director Researcher to transform operations by leveraging agentic AI and frontier models. This role is for a builder, a scientific pioneer and mentor who bridges theory and enterprise-grade, large-scale, deployable systems.

You will lead architecture, guide teams, and partner with business lines to deliver high-impact AI solutions across the firm, with emphasis on scalability, reliability, and responsible innovation.

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