below marketmost similar roles pay hereabove market
This listing doesn't post a salary. Most similar roles pay
$157,200–$209,337.
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.
As an AI Lead Software Engineer - Java 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 data-intensive services and AI-enabled applications, specifically focusing on retrieval-augmented generation patterns and agentic workflows. You will utilize Java, Scala, Spring Boot, SQL, and React within a cloud environment involving Amazon Web Services, Docker, and Kubernetes. Key responsibilities include implementing CI/CD pipelines, Infrastructure as Code, and REST or GraphQL APIs while ensuring responsible AI use and secure handling of data across hybrid technology ecosystems.
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, such as REST and GraphQL, including security and performance considerations.
Demonstrated experience leading the use of approved AI-assisted software development tools and understanding responsible AI use in engineering workflows.
Advanced expertise in object-oriented design, system design, and performance optimization for large-scale services (preferred).