> Markdown version of [/jobs/ext/3973208-senior-lead-software-engineer-ml-engineer](https://www.wearedevelopers.com/jobs/ext/3973208-senior-lead-software-engineer-ml-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Lead Software Engineer - ML Engineer - **Company:** JPMorgan Chase & Co. - **Location:** Wilmington, DE, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Clean Code Principles, Java (Programming Language), Artificial Intelligence, Amazon Web Services, C++ (Programming Language), Cloud Computing, Information Engineering, Distributed Computing Environment, Python (Programming Language), Systems Development Life Cycle, Cloud Services, Software Engineering, Scripting, Enterprise Software Applications, Large Language Models, Agentic-AI, Pyspark, Information Technology, Databricks - **Published:** October 27, 2026 - **Apply:** https://www.careerbuilder.com/job-details/senior-lead-software-engineer-ml-engineer-wilmington-de--8edfc553-ed2b-4535-b9de-1d3c05491e7d ## About the Role Software Engineering, Python Programming/Scripting Language, Software Engineering, Cloud Computing, Cross-Functional, Regulations, Amazon Web Services (AWS), Artificial Intelligence (AI), Scalable System Development, Technical/Engineering Design, * 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.