Lead AI Software Engineer, Java

JPMorgan Chase

Confirmed live yesterday Low trust

Quick summary

Work type
On-site
Location
Jersey City, NJ
Posted
37 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

How this pay compares to similar roles

Similar $188k
$157k most similar roles pay here $232k

This listing doesn't post a salary. Most similar roles pay $164,250–$211,200.

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 · Lead AI Software Engineer, Java

As an AI Lead Software Engineer - Java within Corporate Technology, you will serve as a technical leader on an agile team to design and deliver secure, scalable, and high-performing solutions. You will be responsible for driving architectural decisions, mentoring engineers, and building production-grade services that solve complex business problems. Your daily work involves developing data-intensive workflows using Java or Scala, designing AI-enabled applications featuring retrieval-augmented generation patterns and agentic workflows, and implementing CI/CD automation. The role requires proficiency in Spring Boot, SQL, React, and modern architecture patterns like microservices and event-driven design. You will utilize tools such as Docker, Kubernetes, Amazon Web Services, Databricks, and Elasticsearch while managing large datasets. Additionally, you will lead the adoption of AI-assisted engineering practices to improve code quality, reliability, and delivery speed across distributed systems.

What you'll do

  • Lead the design, development, and delivery of high-quality software solutions to solve complex business problems.
  • Drive architectural decisions for distributed systems to improve scalability, resiliency, and availability.
  • Build and maintain secure, production-grade services using Java or Scala with large-scale datasets.
  • Design and build AI-enabled applications featuring retrieval-augmented generation patterns and agentic workflows.
  • Implement CI/CD automation and reliability patterns to support safe, frequent software releases.
  • Mentor engineers through technical guidance and code reviews to improve team capability and delivery outcomes.
  • Drive the adoption of enterprise-authorized AI-assisted engineering practices to improve code quality and speed.
  • Establish validation standards for AI outputs to ensure security, performance, and accuracy.

What we're looking for

  • Formal training or certification on software engineering concepts and 5+ years of applied experience.
  • Demonstrated experience designing and delivering scalable, secure, and resilient distributed systems in a production environment.
  • Proficiency in Java and Spring Boot with working knowledge of SQL and modern UI frameworks like React.
  • Experience building and operating solutions on public cloud platforms (e.g., AWS) using Docker and Kubernetes.
  • Experience implementing CI/CD pipelines and Infrastructure as Code practices to improve release safety and speed.
  • Practical experience with API design and integration patterns, including REST and GraphQL.
  • Demonstrated experience leading the use of approved AI-assisted software development tools and ensuring responsible AI usage in engineering workflows.
  • Advanced expertise in system design, performance optimization, and building generative AI solutions (preferred).

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