Senior Lead Software Engineer, AI-Native Component Engineering

JPMorgan Chase

Confirmed live 2 days ago Trusted

Quick summary

Work type
On-site
Location
OH
Posted
15 days ago
Freshness
Confirmed live 2 days ago

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Salary context

How this pay compares to similar roles

Similar $204k
$174k most similar roles pay here $231k

This listing doesn't post a salary. Most similar roles pay $184,937–$223,750.

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 1117 open roles on FindRole.

Listed pay typically runs $186,160–$215,000 across 7 roles with salary data.

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At a glance

TL;DR · Senior Lead Software Engineer, AI-Native Component Engineering

As a Sr Lead Software Engineer - AI-Native Component Engineering within the Chief Technology Office, you will join an agile team dedicated to building and delivering secure, stable, and scalable technology products. You will provide technical guidance to teams and vendors while developing high-quality production code and performing peer reviews. A primary focus of this role involves driving the adoption of approved AI-assisted engineering practices, including automated testing, refactoring, and incident analysis, while establishing validation standards for security and performance. You will leverage Java, JavaScript, or Python to solve complex problems within the software development life cycle. The role requires expertise in cloud-native environments, CI/CD pipelines, and machine learning. You will also advocate for firmwide frameworks and tools while ensuring responsible AI usage across various engineering workflows and technical operations.

What you'll do

  • Provide technical guidance and direction to business units, technical teams, contractors, and vendors.
  • Develop secure, high-quality production code while reviewing and debugging code written by others.
  • Drive the adoption and governance of approved AI-assisted engineering practices across multiple teams.
  • Establish measurable validation standards for secure coding, peer review, and automated testing.
  • Utilize SDLC toolchain capabilities to improve automation value at scale.
  • Make key decisions regarding product design, application functionality, and technical operations.
  • Serve as a function-wide subject matter expert in specific technical areas of focus.
  • Advocate for firmwide frameworks, tools, and practices within the engineering community.

What we're looking for

  • Formal training or certification in software engineering concepts.
  • 5+ years of applied experience in software engineering.
  • Hands-on experience in system design, application development, testing, and operational stability.
  • Experience leading the use of enterprise-authorized AI-assisted software development tools.
  • Understanding of responsible AI use, including data sensitivity and secure handling of inputs/outputs.
  • Advanced skills in Java, JavaScript, or Python.
  • Proficiency in automation, continuous delivery methods, and all aspects of the Software Development Life Cycle.
  • Advanced understanding of agile methodologies, cloud-native environments, and technical disciplines like AI or machine learning.

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