AI Engineering Director: Mainframe Modernization

JPMorgan Chase Bank, N.A.; Jersey City (NJ); On-site; USD 233,000 - 325,000; Full time

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