Senior Lead ML Engineer — Python, Spark & AI Pipelines

JPMorgan Chase & Co.; Plano (TX); On-site; USD 140,000 - 180,000; Full time

Job summary

JPMorgan Chase & Co. in Plano, TX, seeks a Senior Lead Software Engineer to drive design, development, and delivery of trusted technology products within the Consumer and Community Banking - Risk Technology Portfolio.

You will lead agile teams, apply AI-assisted engineering practices, and ensure security and reliability across data-intensive systems. The role requires hands-on software engineering, cloud and big data tooling experience, and strong leadership.

Qualifications

• Formal training and certification on software engineering concepts with 5+ years' experience.
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• ["Executes software solutions, design, development, and troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems","Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.","Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to drive efficiency and support capacity unlock initiatives across teams, prioritizing reuse of existing firm technology assets.","Creates secure and high-quality production code and maintai
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Responsibilities

• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
• Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to drive efficiency and support capacity unlock initiatives across teams, prioritizing reuse of existing firm technology assets.
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• Drive the AI / ML delivery best practices along with software engineering best practices.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
• Define architecture for series of complex deliverables.
• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture

Skills

Software design

Leadership

CI/CD

Security

Python

SQL

Machine Learning

Spark

AWS

Databricks

AI-assisted development

Tools

Apache Spark

Databricks

AWS EMR

EC2

S3

CloudWatch

Job description

JPMorgan Chase & Co. in Plano, TX, seeks a Senior Lead Software Engineer to drive design, development, and delivery of trusted technology products within the Consumer and Community Banking - Risk Technology Portfolio.

You will lead agile teams, apply AI-assisted engineering practices, and ensure security and reliability across data-intensive systems. The role requires hands-on software engineering, cloud and big data tooling experience, and strong leadership.