Lead Software Engineer, AI Developer

JPMorgan Chase

Quick summary

Work type
On-site
Location
Plano, TX
Posted
18 days ago

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Salary context

How this pay compares to similar roles

Similar $191k
$143k most similar roles pay here $234k

This listing doesn't post a salary. Most similar roles pay $164,150–$216,912.

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 Developer

As a Senior Lead Software Engineer at JPMorganChase in the Community & Consumer Bank - CX Loyalty Travel team, you will lead an agile development effort to enhance and deliver cutting-edge technology products. Your responsibilities include providing technical guidance, driving product design decisions, and advocating for firmwide software practices. You will work with advanced programming languages like Java, Python, or Node.js, and leverage RAG architectures and AI orchestration frameworks such as LangChain and LlamaIndex. Additionally, you will integrate AWS Bedrock models and build conversational AI systems, ensuring robust API design and microservices architecture. This role requires extensive experience in financial services and proficiency with AWS services, CI/CD pipelines, and responsible AI practices.

What you'll do

  • Provides technical guidance to support business and technical teams.
  • Drives product design and application functionality decisions.
  • Serves as a subject matter expert in software engineering concepts.
  • Contributes to the engineering community by advocating firmwide frameworks.
  • Independently tackles complex design and functionality problems.

What we're looking for

  • 10+ years of software engineering experience in the financial services industry.
  • Advanced proficiency in Java, Python, or Node.js programming languages.
  • Expertise in RAG architectures including chunking strategies and vector stores.
  • Hands-on experience with AI orchestration frameworks like LangChain and LlamaIndex.
  • Proven skills in prompt engineering for system prompts and conversational AI.
  • Proficiency with AWS services such as Lambda, Step Functions, and API Gateway.
  • Experience with CI/CD pipelines, containerization, and infrastructure-as-code practices.

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