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Senior Lead Software Engineer - ML Engineer

JPMorganChase • Artificial Intelligence • Wealth Management & Financial Advisors • Bachelor's Degree • Python • Java • C++ • Scala • 2 months ago
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Salary
≈ $185k – $380k per year (Estimated)
Location
In office (Wilmington)
Seniority
Staff · 5+ years exp
Visa
H-1B filings in 12 months: 3,429 · for this role: 2,086 · green card filings: 933

Confirmed on the employer's own hiring board on Oct 23, 2026. First seen by Alion on Aug 28, 2026. JPMorganChase scores A on the Alion truth index.

Overview
Company
Impact
Profile match

JPMorganChase

JPMorganChase is the largest bank in the United States by assets and one of the most systemically important financial institutions in the world, with a lineage running back through more than a thousand predecessor firms to the 1799 founding of the Bank of the Manhattan Company. It combines a dominant investment bank and markets business with Chase, the largest retail banking franchise in America, plus commercial banking and asset and wealth management. Headquartered in New York, the group is unusual among banks for the scale of its technology spending, running one of the largest engineering organisations of any financial institution and deploying its own internal AI platform across the firm.
jpmorganchase.com • HQ: New York, United States • Wealth Management & Financial Advisors • Asset Management & Funds • Investment Banking & M&A Advisory • Commercial & Retail Banks • 5000+ employees • Est. 1799
Tech stack of JPMorganChase
Backed by Balderton Capital, Radical Partners, team@irregular

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.

Job Responsibilities
  • 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.
Required qualifications, skills, and capabilities
  • 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.
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