Senior Lead Software Engineer, AI

JPMorgan Chase

Quick summary

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

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Salary context

How this pay compares to similar roles

Similar $205k
$161k most similar roles pay here $256k

This listing doesn't post a salary. Most similar roles pay $170,000–$240,181.

Based on 240 similar postings.

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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 · Senior Lead Software Engineer, AI

As a senior software engineer in the AI engineering team, you will develop complex and scalable frameworks using best practices in software design to create durable and reusable solutions that benefit multiple teams. Your responsibilities include writing secure production code, reviewing others' work, and leading cross-functional efforts on technical matters. You will contribute to advancing technical methods by implementing pragmatic AI engineering practices and building evaluation mechanisms to ensure high-quality systems. Proficiency in Python or TypeScript is essential for developing CLI tools, API integrations, and data pipelines. Experience with agent frameworks like LangChain and LLM APIs is crucial, as you will design multi-step workflows and integrate systems that manage context effectively. This role involves tackling complex technology problems in AI and cloud environments, ensuring robust operational behavior across all projects.

What you'll do

  • Develops complex and scalable software frameworks for cross-team use.
  • Writes secure production code and reviews others’ work for quality assurance.
  • Leads technological initiatives in specialized fields using advanced methodologies.
  • Constructs evaluation mechanisms to detect regressions and measure compliance.
  • Designs multi-step AI workflows, including sequential chains and parallel fan-out.

What we're looking for

  • Proficient in Python and/or TypeScript for developing CLI tools, API integrations, and data pipelines.
  • Expertise in designing complex AI workflows including sequential chains, parallel fan-out, conditional routing, and human-in-the-loop checkpoints.
  • Deep knowledge of cloud computing, artificial intelligence, applied LLM systems, machine learning, or mobile technologies.
  • Experience with agent frameworks like LangChain, LlamaIndex, AutoGen, and understanding their tradeoffs.
  • Demonstrated ability to build systems on top of LLM APIs for endpoint integration, streaming, tool calling, and context management.

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