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JP Morgan Chase Logo

Lead Software Engineer - Applied AI/ML

JP Morgan Chase

Salary not specified
Sep 22, 2025
Plano, TX, USA • New York, NY, USA
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JPMorgan Chase's Consumer & Community Banking's Architecture and Engineering team is looking to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way by solving critical technology solutions across multiple technical areas within various business functions.

Requirements

  • Hands-on practical experience delivering system design, application development, testing, and operational stability
  • Advanced in one or more programming language(s) python
  • Advanced experience in Python with AI/ML modeling
  • Proficiency in automation and continuous delivery methods
  • Proficient in all aspects of the Software Development Life Cycle
  • Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
  • Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., AWS artificial intelligence, machine learning, LLM, etc.)

Responsibilities

  • Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
  • Develops secure high-quality production code, and reviews and debugs code written by others
  • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
  • Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
  • Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies

Other

  • Adds to team culture of diversity, opportunity, inclusion, and respect
  • Formal training or certification on software engineering concepts and 5+ years applied experience
  • Experience with Agentic AI Models
  • Experience with Small Language Model's, Large Reasoning Model's and Model Finetuning.
  • In-depth knowledge of the financial services industry and their IT systems
  • Practical cloud native experience