Lead the design and delivery of secure, scalable AI-enabled platforms and distributed systems for JPMorganChase’s Corporate Technology organization.

Lead design, development, and delivery of high-quality software solutions using modern engineering practices to address complex business needs
Drive architectural decisions and technical direction to improve scalability, resiliency, and availability for distributed systems
Build and maintain secure, production-grade services, raising code quality through reviews, testing, and engineering excellence
Mentor engineers via technical guidance, pairing, and actionable feedback to improve team capability and delivery outcomes
Implement CI/CD automation and reliability patterns to support safe, frequent releases
Develop data-intensive services and workflows using Java or Scala for large-scale datasets and modern data platforms
Design and build AI-enabled applications, including retrieval-augmented generation (RAG) patterns and agentic workflows, with appropriate evaluation and guardrails
Drive adoption of enterprise-authorized AI-assisted engineering practices (example: AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support) with consistent validation standards (secure coding, peer review, automated testing) and pattern reuse across the team
Apply knowledge of Software Development Life Cycle toolchain capabilities, including approved AI-assisted development and automation, to improve automation value

Formal training or certification in software engineering concepts and 5+ years applied experience
Hands-on experience designing and delivering scalable, secure, resilient distributed systems in production
Proficiency in Java and Spring Boot, with working knowledge of SQL and modern UI frameworks (e.g., React)
Strong understanding of modern architecture patterns: microservices, event-driven design, and API-first approaches
Experience building and operating solutions on public cloud platforms (e.g., Amazon Web Services), including Docker and Kubernetes (containerization and orchestration)
Experience implementing CI/CD pipelines and Infrastructure as Code practices to improve release safety and speed
Practical experience with API design and integration patterns (e.g., REST and GraphQL) including security and performance considerations
Demonstrated experience leading effective use of approved AI-assisted software development tools (coding, code review, test acceleration, troubleshooting) and setting team expectations for validating AI outputs for correctness, performance, and security
Strong understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices

Base salary determined based on role, experience, skill set, and location
Eligible roles may receive commission-based pay and/or discretionary incentive compensation (cash and/or forfeitable equity)
Comprehensive health care coverage
On-site health and wellness centers
Retirement savings plan
Backup childcare
Tuition reimbursement
Mental health support
Financial coaching

One of the oldest financial institutions, offering innovative financial solutions to consumers, small businesses, and major corporate, institutional, and government clients under the J.P. Morgan and Chase brands
More than 200 years of history; leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing, and asset management
Equal opportunity employer committed to diversity and inclusion
Provides reasonable accommodations for applicants and employees regarding religious practices and beliefs, as well as mental health or physical disability needs

Corporate Technology team develops applications and provides tech support for corporate functions across the network
Work supports Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and Corporate Administrative Office functions
Team built to meet evolving technology needs and support the technology controls agenda

Location: Jersey City, NJ (onsite)

Compensation: USD 156,750 - 215,000 per year

Minimum Experience: 5 years

AI Lead Software Engineer

Job Description