Lead Software Engineer, AI-Native Component Engineering

JPMorgan Chase

Confirmed live yesterday Trusted

Quick summary

Work type
On-site
Location
Columbus, OH
Posted
21 days ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $205k
$174k most similar roles pay here $231k

This listing doesn't post a salary. Most similar roles pay $192,050–$218,493.

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 · Lead Software Engineer, AI-Native Component Engineering

As a Lead Software Engineer – AI-Native Component Engineering within the Chief Technology Office, you will join an agile team focused on delivering secure, stable, and scalable technology products. You will be responsible for designing creative software solutions, developing high-quality production code, and troubleshooting complex technical problems while identifying opportunities to automate recurring issues. A primary focus involves driving the adoption of enterprise-authorized AI-assisted engineering practices to improve code quality and delivery speed. You will build components designed to be drop-in and AI-native with automated upgrades for enterprise use. Required skills include advanced proficiency in Java, JavaScript, or Python, along with expertise in cloud-native systems, CI/CD pipelines, and the full software development life cycle. You must demonstrate experience in responsible AI usage, system design, and building SDKs or developer platforms to solve complex engineering challenges.

What you'll do

  • Develop secure, high-quality production code while reviewing and debugging code written by others.
  • Design and execute creative software solutions to solve complex technical problems beyond conventional approaches.
  • Identify and automate the remediation of recurring issues to improve system operational stability.
  • Drive team adoption of enterprise-authorized AI-assisted engineering practices for coding, refactoring, and testing.
  • Establish validation standards for AI outputs including security, performance, and peer review requirements.
  • Build AI-native components with automated upgrades to simplify adoption across the enterprise.
  • Lead communities of practice to drive awareness and adoption of leading-edge technologies and shared frameworks.
  • Utilize SDLC toolchains and automation capabilities to improve delivery speed and code quality.

What we're looking for

  • Formal training or certification on software engineering concepts and 5+ years of applied experience.
  • Demonstrated experience leading the use of approved AI-assisted software development tools for coding, review, and troubleshooting.
  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity and security compliance.
  • Hands-on practical experience delivering system design, application development, testing, and operational stability.
  • 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 including CI/CD, application resiliency, and security.
  • Demonstrated proficiency in a technical discipline such as cloud, artificial intelligence, or machine learning; practical cloud-native experience.
  • Experience building SDKs, frameworks, or developer platforms that other engineering teams consume (preferred).
  • Experience with AI-native tooling and AI-assisted development workflows (preferred).
  • Demonstrated code shipped to production that leverages AI or builds AI capabilities (preferred).

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