Senior AI-Driven Software Engineer (ML/Cloud)

JPMorgan Chase & Co.; Plano (TX); On-site; USD 110,000 - 160,000; Full time

Job summary

JPMorganChase & Co. is seeking a Software Engineer II in Plano, TX to join a collaborative, agile team delivering secure and scalable software. You will design, develop, and troubleshoot components within a state-of-the-art technology platform while advancing AI-assisted engineering practices.

The role emphasizes Python, ML frameworks, cloud ML platforms, and strong emphasis on secure coding, code reviews, and automated testing to ensure reliability and performance across complex systems.

Qualifications

• Formal training or certification in software engineering with practical experience.
• Experience delivering system design, application development, testing, and operational stability.
• Hands-on experience building, deploying, and maintaining ML platforms or infrastructure.
• Proficiency in Python and ML frameworks; data processing with Spark, Pandas, SQL.

Responsibilities

• Executes creative software solutions and troubleshooting with the ability to solve non-trivial problems.
• Develops secure, high-quality production code and reviews peers’ work.
• Drives adoption of enterprise AI-assisted engineering practices to improve code quality and delivery speed.
• Applies SDLC toolchain skills, including AI-assisted development and automation, to improve automation value.
• Identifies opportunities to automate recurring issues to improve stability.
• Leads evaluation sessions with vendors and internal teams on architectures and integration.

Skills

Python programming

ML model development

Data analysis

Cloud ML platforms

AI-assisted development

CI/CD & Agile

Education

Bachelor's degree in Computer Science or related field

Tools

TensorFlow

PyTorch

Scikit-learn

Spark

Pandas

SQL

AWS SageMaker

GCP AI Platform

Azure ML

Job description

JPMorganChase & Co. is seeking a Software Engineer II in Plano, TX to join a collaborative, agile team delivering secure and scalable software. You will design, develop, and troubleshoot components within a state-of-the-art technology platform while advancing AI-assisted engineering practices.

The role emphasizes Python, ML frameworks, cloud ML platforms, and strong emphasis on secure coding, code reviews, and automated testing to ensure reliability and performance across complex systems.