AI Engineering Director: Mainframe Modernization

JPMorgan Chase Bank, N.A.

Jersey City (NJ)

On-site

USD 233,000 - 325,000

Full time

12 days ago
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Job summary

JPMorgan Chase Bank, N.A. in Jersey City, NJ seeks a Senior Director of Software Engineering to lead a strategic AI modernization program within Wealth Management Technology.

You will own the roadmap, direct cross-domain modernization, and build agentic systems that translate legacy code and data flows into modern, production-ready services. This hands-on leadership role requires building and mentoring an AI engineering squad, partnering with domain experts, and delivering measurable business

Qualifications

  • Formal training or certification in software engineering principals and 10+ years of applied experience.
  • 5+ years of experience leading technologists to manage complex technical items.
  • Hands-on production LLM-based applications and agentic architectures.
  • Experience with 24/7 distributed systems, event-driven and batch architectures, API design, and cloud platforms.

Responsibilities

  • Design and operate the end-to-end AI modernization pipeline across domains.
  • Own migration sequencing and scalable delivery of trusted calculations.
  • Lead and mentor an AI engineering team and set engineering standards.
  • Partner with mainframe SMEs to validate specifications and preserve business intent.
  • Develop multi-agent systems for discovery, specification, code generation, and verification.

Skills

Software leadership
LLM-based apps
Distributed systems
Cloud platforms
Team building
Communication
Multi-agent orchestration

Tools

AWS/EKS/ECS
Kafka
PostgreSQL
JVM
Rust

Job description

JPMorgan Chase Bank, N.A. in Jersey City, NJ seeks a Senior Director of Software Engineering to lead a strategic AI modernization program within Wealth Management Technology.

You will own the roadmap, direct cross-domain modernization, and build agentic systems that translate legacy code and data flows into modern, production-ready services. This hands-on leadership role requires building and mentoring an AI engineering squad, partnering with domain experts, and delivering measurable business

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