Senior Lead Data & AI Engineer (Python/PySpark)

JPMorganChase; Plano (TX); On-site; USD 120,000 - 190,000; Full time

Benefits offered by this job

comprehensive health care coverage

on-site health and wellness centers

a retirement savings plan

backup childcare

tuition reimbursement

mental health support

financial coaching

Job summary

JPMorgan Chase in Plano seeks a Senior Lead Software Engineer to drive technically challenging initiatives on a secure, scalable platform within Risk Technology. You will own architecture, develop robust production code, and lead teams to deliver trusted financial tech products using Python, Spark, AWS, and Databricks.

The role emphasizes AI-assisted development, CI/CD, data pipelines, and cloud-native design to support risk analytics and large-scale data processing.

Qualifications

• Formal training and certification on software engineering concepts with 5+ years of applied experience.
• 2+ years of experience leading technologists to solve complex items in domain.
• Hands-on experience in system design, app development, testing, and operational stability.

Responsibilities

• Executes software solutions, design, development, and troubleshooting with ability to tackle complex problems.
• Drives AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes with measurable validation standards.
• Uses SDLC tools including AI-assisted development to drive efficiency and reuse of assets.
• Creates secure, high-quality production code and maintains algorithms that run with systems.
• Drives AI/ML delivery best practices alongside software engineering best practices.

Skills

Python

PySpark

Big Data

Data pipeline

Machine Learning

SQL

Spark

AWS

Databricks

Java

Spring Boot

Airflow

LLM techniques

Tools

Airflow

Job description

JPMorgan Chase in Plano seeks a Senior Lead Software Engineer to drive technically challenging initiatives on a secure, scalable platform within Risk Technology. You will own architecture, develop robust production code, and lead teams to deliver trusted financial tech products using Python, Spark, AWS, and Databricks.

The role emphasizes AI-assisted development, CI/CD, data pipelines, and cloud-native design to support risk analytics and large-scale data processing.