Lead Software Engineer, Python AI

JPMorgan Chase

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Quick summary

Work type
On-site
Location
Plano, TX
Employment
Full-time
Posted
14 days ago
Freshness
Confirmed live today

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Salary context

How this pay compares to similar roles

Similar $195k
$133k $259k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $167,500–$223,125.

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 1226 open roles on FindRole.

Listed pay typically runs $156,750–$215,000 across 5 roles with salary data.

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At a glance

TL;DR · Lead Software Engineer, Python AI

As a Lead Software Engineer- Python AI, you will join the Identity & Access Management team to deliver market-leading technology solutions and establish governance frameworks for the responsible adoption of emerging technologies. You will design and develop scalable, resilient systems using Java or Python, creating secure production code and maintaining complex algorithms. Your daily work involves executing software solutions, troubleshooting technical issues, and producing architecture artifacts while ensuring design constraints are met. You will drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes. Key responsibilities include managing data visualizations, identifying patterns in large datasets, and ensuring secure handling of inputs and outputs. You must possess expertise in the Software Development Life Cycle, CI/CD, and application resiliency within a corporate environment.

What you'll do

  • Design and develop scalable, resilient systems using Java or Python.
  • Create secure production code and maintain algorithms that run synchronously with existing systems.
  • Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality and delivery speed.
  • Establish validation standards for secure coding, peer reviews, and automated testing.
  • Produce and contribute to architecture and design artifacts while ensuring all design constraints are met.
  • Analyze large datasets to identify patterns and drive improvements to coding hygiene and system architecture.
  • Coach engineers on the safe, compliant, and responsible use of AI within engineering workflows.

What we're looking for

  • Formal training or certification on software engineering concepts and 5+ years of applied experience.
  • Hands-on practical experience in system design, application development, testing, and operational stability.
  • Proficiency in coding using Java or Python languages.
  • Experience developing, debugging, and maintaining code in a large corporate environment using modern programming and database querying languages.
  • Demonstrated experience leading the use of approved AI-assisted software development tools and setting validation standards for AI outputs.
  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity and secure handling of inputs/outputs.
  • Overall knowledge of the Software Development Life Cycle, including CI/CD, Application Resiliency, and Security.
  • Knowledge of software applications and technical processes within a technical discipline such as cloud, AI, or machine learning.
  • Familiarity with modern front-end technologies (preferred).
  • Familiarity working in identity & access management solutions (preferred).
  • Exposure to AI/ML technologies (preferred).

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