Lead Software Engineer, AI/ML Java/Python

JPMorgan Chase

Confirmed live yesterday Trusted

Quick summary

Work type: On-site
Location: New York, NY
Posted: 25 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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How this pay compares to similar roles

Similar $203k

$174k most similar roles pay here $231k

This listing doesn't post a salary. Most similar roles pay $192,025–$214,000.

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/ML Java/Python

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As a Lead Software Engineer - AI/ML Java/Python within the CCB AI/ML engineering team, you will serve as a core technical contributor in an agile environment. You are responsible for designing, developing, and troubleshooting high-quality production code while ensuring systems remain secure, stable, and scalable. Your daily work involves driving the adoption of approved AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes across the software development life cycle. You will lead evaluation sessions with vendors, manage communities of practice, and mentor others on responsible AI usage. The role requires advanced proficiency in Python and Java, experience with AWS cloud platforms, and a deep understanding of CI/CD, application resiliency, and security. You will solve complex technical problems within the specific context of financial services IT systems and infrastructure.

Skills

AI/ML Python Java AWS CI/CD Agile Machine Learning Cloud Native System Design Automated Testing SDLC Security Software Development Life Cycle Data Sensitivity Refactoring Troubleshooting

What you'll do

Develop secure, high-quality AI/ML engineering production code while reviewing and debugging peer code.
Drive adoption and governance of approved AI-assisted engineering practices to improve code quality and delivery speed.
Establish measurable validation standards for secure coding, peer reviews, and automated testing.
Utilize SDLC toolchain capabilities and automation to increase value across the software development lifecycle.
Identify and automate the remediation of recurring issues to improve system operational stability.
Lead evaluation sessions with vendors and internal teams to assess architectural designs and technical feasibility.
Lead communities of practice to promote awareness and adoption of leading-edge technologies.
Coach engineers on responsible AI usage, including data sensitivity and secure handling of inputs/outputs.

What we're looking for

Formal training or certification on software engineering concepts.
5+ years of applied experience in software engineering.
Hands-on experience in system design, application development, testing, and operational stability.
Experience delivering AI/ML engineering specifically on the AWS platform.
Demonstrated experience leading the use of enterprise-authorized AI-assisted software development tools.
Strong understanding of responsible AI use, including data sensitivity and secure handling of inputs/outputs.
Advanced proficiency in programming languages such as Python or Java.
Advanced knowledge of agile methodologies, CI/CD, application resiliency, and security.

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