Lead Software Engineer, AI

JPMorgan Chase

Quick summary

Work type
On-site
Location
Columbus, OH
Posted
9 days ago

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Salary context

How this pay compares to similar roles

Similar $194k
$151k most similar roles pay here $233k

This listing doesn't post a salary. Most similar roles pay $164,787–$223,812.

Based on 240 similar postings.

Employer

About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 436 open roles on FindRole.

Listed pay typically runs $152,000–$215,000 across 230 roles with salary data.

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At a glance

TL;DR · Lead Software Engineer, AI

As a Lead Software Engineer — AI at CCB, JPMorgan Chase, you will lead the development and maintenance of complex, multi-agent AI systems that automate critical stages of the software delivery pipeline. You’ll work on an enterprise-scale platform, focusing on reliability, evaluation, observability, and cost optimization for production-grade systems. Your responsibilities include designing durable frameworks, developing secure code, leading cross-functional teams, and building quality mechanisms to ensure compliance with specifications. Proficiency in Python or TypeScript is essential, along with experience in cloud-native technologies, LLM APIs, and agent frameworks like LangChain or AutoGen. You must also have a deep understanding of JPMC’s enterprise stack, including Cloud Foundry and GKP, and the ability to communicate effectively with senior leadership.

What you'll do

  • Develops complex and scalable AI frameworks for production use.
  • Engineers secure systems with clear failure modes and robust operational behavior.
  • Leads cross-functional teams on technological matters as a subject matter expert.
  • Builds evaluation mechanisms to detect regressions and measure compliance.
  • Influences leaders and stakeholders across business, product, and technology teams.

What we're looking for

  • 7+ years of applied software engineering experience with formal training or certification.
  • Proficient in Python and/or TypeScript for building CLI tools, API integrations, and data pipelines.
  • Experience designing multi-step AI workflows including sequential chains, parallel fan-out, conditional routing.
  • Expertise in agent frameworks like LangChain, LlamaIndex, and practical knowledge of their tradeoffs.
  • Demonstrated ability to build systems on top of LLM APIs for endpoint integration and context management.
  • Strong communication skills to present technical solutions to senior leaders and executives.

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