AI Lead Software Engineer

JPMorgan Chase

Confirmed live today Trusted

Quick summary

Work type: On-site
Location: Jersey City, NJNew York, NY
Employment: Full-time
Posted: 14 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $188k

$129k $246k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $162,000–$215,000.

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 1226 open roles on FindRole.

Listed pay typically runs $156,750–$215,000 across 5 roles with salary data.

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At a glance

TL;DR · AI Lead Software Engineer

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As an AI Lead Software Engineer within Corporate Technology, you will serve as a technical leader on an agile team designing and delivering secure, scalable, and high-performing technology solutions. You will lead the design and development of production-grade services, driving architectural decisions for distributed systems while mentoring engineers through technical guidance and code reviews. Your daily work involves building AI-enabled applications, including retrieval-augmented generation patterns and agentic workflows, while implementing continuous integration and delivery automation. You will utilize Java, Scala, Spring Boot, SQL, and React to develop data-intensive services. The role requires expertise in microservices, event-driven design, and public cloud platforms like Amazon Web Services using Docker and Kubernetes. You will solve complex business problems by integrating enterprise-authorized AI-assisted engineering practices into the software development life cycle.

Skills

Java Scala Spring Boot React SQL Docker Kubernetes Infrastructure as Code REST GraphQL Microservices Event-driven design LangChain LlamaIndex Elasticsearch Oracle MongoDB Databricks Retrieval-Augmented Generation Generative AI

What you'll do

Lead the design, development, and delivery of high-quality software solutions to solve complex business problems.
Drive architectural decisions to improve scalability, resiliency, and availability for distributed systems.
Build and maintain secure, production-grade services using Java or Scala for large-scale datasets.
Design and build AI-enabled applications featuring retrieval-augmented generation patterns and agentic workflows.
Implement continuous integration and continuous delivery automation to support safe, frequent releases.
Mentor engineers through technical guidance, pairing, and actionable feedback to improve team delivery outcomes.
Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality and speed.
Establish consistent validation standards for secure coding, peer reviews, and automated testing.

What we're looking for

Formal training or certification on software engineering concepts and 5+ years of applied experience.
Demonstrated hands-on experience designing and delivering scalable, secure, resilient distributed systems in a production environment.
Proficiency in Java and Spring Boot, with working knowledge of SQL and modern user interface frameworks like React.
Experience building and operating solutions on public cloud platforms, including containerization and orchestration using Docker and Kubernetes.
Experience implementing continuous integration and continuous delivery pipelines and Infrastructure as Code practices.
Practical experience with API design and integration patterns, including REST and GraphQL, with security and performance considerations.
Demonstrated experience leading the use of approved AI-assisted software development tools and coaching engineers on responsible AI use.
Advanced expertise in object-oriented design, system design, and performance optimization for large-scale services (preferred).

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