Agentic AI Lead Engineer for Private Banking Web

JPMorgan Chase & Co.; Jersey City (NJ); On-site; USD 140,000 - 200,000; Full time

Job summary

JPMorgan Chase & Co. is seeking an Agentic AI Senior Lead Software Engineer to guide the development of production-grade Private Banking Web applications.

You will architect scalable solutions using Python, Java, RESTful APIs, and microservices, while integrating AI-assisted tooling and data sources across global teams. You will mentor engineers, advance secure coding practices, and partner with product, design, cybersecurity, and data teams to deliver impactful, AI-enabled features for advisors

Qualifications

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Demonstrate advanced hands-on full-stack software engineering expertise with a proven track record.
• Strong hands-on development experience with Python, Java, modern web technologies, RESTful APIs, microservices, distributed systems, and data integration patterns.
• Experience building secure multi-tier applications using AWS or other cloud platforms, including compute, storage, networking, identity, security, observability, and deployment automation services.
• Ability to apply deep knowledge of application security, authentication, authorization, data protection, secure SDLC practices, vulnerability remediation, and financial services control expectations.
• Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools.
• Strong understanding of responsible AI use in engineering workflows, data sensitivity considerations, secure handling of inputs/outputs, and security expectations.
• Develop agentic AI solutions using LLMs, prompt engineering, retrieval-augmented generation, AI agents, tool calling, workflow orchestration, and frameworks.

Responsibilities

• Lead full-stack design, development, and delivery of secure, scalable Private Banking Web applications across front-end, back-end, service, data, and cloud tiers.
• Build high-quality production software using Python, Java, modern web technologies, RESTful APIs, microservices, and event-driven architecture.
• Develop responsive and reliable web experiences that integrate user interfaces, APIs, business services, data platforms, and enterprise systems.
• Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes.
• Applies knowledge of tools within the SDLC toolchain, including approved AI-assisted development and automation capabilities.
• Architect agentic AI solutions that leverage LLMs, AI agents, orchestration frameworks, tool calling, workflow automation, and enterprise data sources.
• Integrate AI-enabled capabilities that enhance personalization, search, insights, recommendations, and self-service across Private Banking Web experiences.
• Drive technical decisions across application architecture, cloud services, security controls, performance, observability, reliability, and production readiness.
• Review designs and code, debug complex full-stack issues, strengthen code quality, and enforce secure coding practices across globally distributed teams.
• Collaborate with product, design, data, architecture, cybersecurity, risk, and business stakeholders to deliver solutions aligned to enterprise standards.
• Mentor engineers, influence technical direction, and promote effective use of AI-assisted development tools, reusable skills, and accelerators.

Skills

Python

Java

REST APIs

Microservices

AWS

Kubernetes

Docker

AI-assisted development

LLMs

GraalGraph / LangGraph

Education

Formal training or certification in software engineering

Tools

Python

Java

RESTful APIs

GraphQL

gRPC

Job description

JPMorgan Chase & Co. is seeking an Agentic AI Senior Lead Software Engineer to guide the development of production-grade Private Banking Web applications.

You will architect scalable solutions using Python, Java, RESTful APIs, and microservices, while integrating AI-assisted tooling and data sources across global teams. You will mentor engineers, advance secure coding practices, and partner with product, design, cybersecurity, and data teams to deliver impactful, AI-enabled features for advisors