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# Lead Software Engineer - ML Engineer (Corporate & Enterprise Technology)

- **Company:** JPMorgan Chase & Co.
- **Location:** Jersey City, NJ, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Clean Code Principles, Java (Programming Language), Computer-Aided Design, Amazon Web Services, C++ (Programming Language), Information Engineering, Distributed Computing Environment, Python (Programming Language), Cloud Services, Software Engineering, Enterprise Software Applications, Large Language Models, Agentic-AI, Pyspark, Information Technology, Databricks
- **Published:** October 20, 2026
- **Apply:** https://find.jobs/jobs-near-me/apply/ats-redirect/?id=3021960716-2

## About the Role

* 5+ years of software engineering experience and strong CS fundamentals
 * Strong hands-on experience with PySpark, Python, Databricks (DBX), and AWS.
 * Experience building and operating production-grade systems (quality, reliability, observability).
 * Strong communication skills; ability to work in dynamic, ambiguous environments.

Preferred Qualifications, Capabilities, and Skills

 * C++, Scala, and/or Java experience.
 * Data engineering experience; ML exposure is a plus.
 * Strong candidates: experience enabling or building AI agent development (LLM-enabled workflows/orchestration, evaluation/guardrails).
 * Advanced degree in Computer Science or related field.

## Description

Build and deliver scalable, production-grade data and cloud solutions for regulatory model applications and modernization initiatives at JPMorganChase. This hands-on individual contributor role focuses on engineering with PySpark/Python on Databricks (DBX) and AWS, partnering with cross-functional teams to design, implement, and support reliable systems; strong candidates may also bring experience enabling AI agent development., As a Lead Software Engineer (Individual Contributor) at JPMorganChase within Corporate & Enterprise Technology, you will build and deliver scalable data and cloud solutions for regulatory model applications and modernization initiatives. You'll be hands-on across design, development, and production support, leveraging PySpark/Python, Databricks (DBX), and AWS, and collaborating closely with cross-functional partners., * Design, develop, and deploy regulatory model applications and cloud modernization solutions.

 * Build scalable distributed data processing solutions using PySpark/Python and Databricks (DBX).
 * Implement secure, resilient AWS-based architectures and integration patterns.
 * Write high-quality code, tests, and documentation; contribute to reviews and release readiness.
 * Communicate architecture and delivery plans through clear technical documentation and tech decks.
 * Partner with product, data, model, and platform teams to deliver outcomes on time.