Lead AI/ML Software Engineer – Scalable, Secure Systems

JPMorgan Chase & Co.; Plano (TX); On-site; USD 140,000 - 210,000; Full time

Job summary

JPMorgan Chase & Co. in Plano, TX is seeking a Lead Software Engineer to drive design, development, and delivery of scalable, secure tech products within the Home Lending Servicing team.

You will lead critical projects, mentor engineers, and promote AI-assisted engineering practices across the SDLC. You'll work in an agile environment, collaborating with internal stakeholders and external vendors to advance architecture decisions and ensure reliability, performance, and compliance across our

Qualifications

• 5+ years in designing and delivering production-grade distributed systems.
• 2+ years building and/or operating ML-enabled systems in production.
• Advanced in Python and/or Java with strong CS fundamentals.
• Experience leading AI-assisted development tools and validating AI outputs.
• Strong understanding of responsible AI in engineering workflows.
• Proficiency across the Software Development Life Cycle.

Responsibilities

• Executes creative software solutions with scalable architecture.
• Develops secure, production-grade code and reviews peers.
• Drives AI-assisted engineering practices to improve quality and speed.
• Applies SDLC tools and automation to increase value.
• Identifies opportunities to automate and stabilize systems.
• Leads design reviews with vendors and internal teams.
• Drives adoption of AI-assisted practices and validation standards.
• Uses cloud-native tools and deployments for scalable services.
• Designs and delivers scalable ML systems with monitoring.

Skills

Python

Java

CS fundamentals

AI-assisted tooling

Agile methodologies

Communication

Tools

Spark

SQL

Airflow

Docker

Kubernetes

Job description

JPMorgan Chase & Co. in Plano, TX is seeking a Lead Software Engineer to drive design, development, and delivery of scalable, secure tech products within the Home Lending Servicing team.

You will lead critical projects, mentor engineers, and promote AI-assisted engineering practices across the SDLC. You'll work in an agile environment, collaborating with internal stakeholders and external vendors to advance architecture decisions and ensure reliability, performance, and compliance across our