Generative AI Director

JP Morgan Chase · London, England ·

Last confirmed by our partners on 17 Oct 2026.

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Overview

Join J.P. Morgan’s Chief Analytics Office to lead the design and delivery of production-grade LLM systems powering mission-critical products. You will guide technical teams to innovate at scale and accelerate AI adoption across the firm.

Expect to bridge research and engineering, delivering scalable, reliable AI solutions with measurable business impact. This is an opportunity to shape enterprise AI strategy, build robust systems, and partner with cross-functional teams to drive value for clients and stakeholders.

You will operate at the intersection of technology, strategy, and execution, delivering tangible results in a fast-paced environment.

Responsibilities

  • Architect scalable APIs and agentic workflows to enable automation and efficiency
  • Design and deliver production LLM-based systems for text, image, speech, and video
  • Own end-to-end delivery, performance, and continuous improvement of LLM Suite products
  • Collaborate with ML Engineering, Product Management, and Cloud Engineering to ensure reliable, secure solutions with business impact
  • Bridge advanced AI research with robust engineering to create production-ready solutions
  • Drive results with an entrepreneurial mindset in a fast-paced, high-impact environment

Key requirements

  • PhD or equivalent experience in Computer Science, Mathematics, Statistics, or related quantitative field
  • Extensive hands-on ML engineering experience with a track record of shipping production AI systems
  • Deep expertise in NLP, Computer Vision, and/or Multimodal LLMs with strong foundations in statistics, optimization, and ML theory
  • Practical experience building distributed, multi-threaded, scalable applications using Ray, Horovod, or DeepSpeed
  • Effective communication of complex technical concepts to stakeholders at all levels
  • effective communication
  • stakeholder trust-building
  • collaboration across teams
  • NLP
  • Computer Vision
  • Multimodal LLMs
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