Software Engineer III, Data Platform AI Engineer

JPMorgan Chase

Confirmed live yesterday Trusted

Quick summary

Work type
On-site
Location
Plano, TX
Posted
24 days ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $189k
$141k most similar roles pay here $234k

This listing doesn't post a salary. Most similar roles pay $155,900–$222,000.

Based on 240 similar postings.

Employer

About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 1117 open roles on FindRole.

Listed pay typically runs $186,160–$215,000 across 7 roles with salary data.

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At a glance

TL;DR · Software Engineer III, Data Platform AI Engineer

As a Software Engineer III - Data Platform/AI Engineer (Python/AWS) within the AI/ML & Data Platforms team, you will serve as a core technical contributor developing critical technology solutions across various business functions. You will be responsible for designing, developing, and troubleshooting creative software solutions while ensuring high-quality production code through rigorous peer reviews and debugging. Your daily work involves identifying automation opportunities to improve operational stability and leading communities of practice to promote leading-edge technologies. The role requires heavy use of Python, Snowflake, and AWS cloud native technologies within the Software Development Life Cycle. You will also utilize enterprise-authorized AI coding assist tools for code generation and refactoring while ensuring security standards. This position addresses complex technical problems within the financial services industry, requiring expertise in CI/CD, application resiliency, and responsible AI practices.

What you'll do

  • Develop and troubleshoot high-quality production code using Python, Snowflake, and AWS technologies.
  • Design and implement creative software solutions to solve complex technical problems beyond routine approaches.
  • Perform peer code reviews to ensure quality, security, and adherence to coding standards.
  • Automate the remediation of recurring issues to improve the operational stability of software applications.
  • Utilize enterprise-authorized AI coding tools to accelerate development, refactoring, and unit test creation.
  • Lead communities of practice to drive the adoption of leading-edge technologies across engineering teams.
  • Manage the full Software Development Life Cycle including CI/CD, application resiliency, and security protocols.

What we're looking for

  • Formal training or certification in software engineering concepts and advanced applied experience.
  • 3+ years of hands-on practical experience in system design, application development, testing, and operational stability.
  • Fluency in Python.
  • Proficiency in all aspects of the Software Development Life Cycle (SDLC).
  • Advanced understanding of agile methodologies including CI/CD, Application Resiliency, and Security.
  • In-depth knowledge of the financial services industry and their IT systems.
  • Practical AWS cloud native experience.
  • Experience using enterprise-authorized AI-assisted software development tools to generate, validate, and refine code and documentation.

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