Lead Software Engineer - AI, Cloud & ML Systems

J.P. Morgan

New York (NY)

On-site

USD 140,000 - 210,000

Full time

14 days+

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Job summary

JPMorgan Chase & Co. is seeking a Lead Software Engineer within the Commercial and Investment Bank Payments Technology team to drive secure, scalable technology.

You will be a core technical contributor, delivering trusted, market-leading products while guiding agile teams and aligning with firm-wide SDLC practices. You will lead end-to-end ML deployments, design secure production services, and foster AI-assisted development, code review, and testing strategies.

Qualifications

  • Formal training or certification on software engineering concepts and 5+ years applied experience.
  • Hands-on experience delivering system design, development, testing, and operational stability.
  • Advanced in one or more programming language(s).
  • Advanced knowledge of cloud, AI, ML, and related technical disciplines.
  • Demonstrated experience leading AI-assisted software development tools with quality validation.

Responsibilities

  • Provide technical guidance to the business and its teams, contractors, and vendors.
  • Deploy and serve end-to-end ML models.
  • Deploy and maintain services in a fully cloud native environment.
  • Promote enterprise AI-assisted engineering practices and secure coding standards.
  • Develop secure, high-quality production code and review code written by others.

Skills

Technical leadership
AI/ML development
Cloud-native
Python
API design

Education

Bachelor's degree in Computer Science / Engineering

Tools

AWS
OpenAPI
LLamaIndex
Google ADK

Job description

JPMorgan Chase & Co. is seeking a Lead Software Engineer within the Commercial and Investment Bank Payments Technology team to drive secure, scalable technology.

You will be a core technical contributor, delivering trusted, market-leading products while guiding agile teams and aligning with firm-wide SDLC practices. You will lead end-to-end ML deployments, design secure production services, and foster AI-assisted development, code review, and testing strategies.

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