Software Engineer III - AI Research

Bring your engineering skills and Join JPMorgan Chase where you will build and ship production AI at global scale.

As a Software Engineer III on JPMorgan Chase's AI/ML Data Platforms - AI Research team, you'll design Python-first platforms and GenAI apps (including agents), turn research into secure, scalable products, and automate across cloud with modern CI/CD and IaC.

Partner with AIR and MLCoE to shape how AI is built and deployed across the firm.

As a Software Engineer III at JPMorgan Chase within the AI/ML Data Platforms - AI Research team,youare an integral part of a team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way.

You will be responsible for delivering critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.

In this context, your primary clients will be AI Research (AIR) and the Machine learning Centre of Excellence (MLCoE)

Job responsibilities


* Develops and writes software applications for AI/ML platforms as well as building Generative AI based applications including Agents - particularly strong in Python.


* Utilizes creative problem-solving skills to design, develop, and troubleshoot technical solutions, thinking beyond conventional approaches to innovate and resolve complex technical challenges.


* Has an interest and familiarity with agent-based programing, especially with newest techniques


* Proactively identifies opportunities to streamline, eliminate, or automate the remediation of recurring issues and developer challenges, enhancing the operational efficiency and excellence of software applications and systems.


* Uses CI/CD to deliver public and private cloud platforms, as well as familiarity with experimentation environments (e.g.

Jupyter Notebooks)


* Works closely with Data Scientists and AI Researchers to advance experiments into more robust, scalable, highly optimized production-grade apps.


* Adds to team culture of opportunity, inclusion, and respect/


* Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.


* Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.

Required qualifications, capabilities, and skills


* Formal training or certification on software engineering concepts and 3+ years of applied experience


* Practical experience in Infrastructure as Code development, ideally using Terrafo...