Senior Engineer, Agentic AI — Java/Python Leader

JPMorganChase; Jersey City (NJ); On-site; USD 160,000 - 230,000; Full time

Benefits offered by this job

Comprehensive health care coverage

On-site health centers

Retirement savings plan

Tuition reimbursement

Mental health support

Financial coaching

Job summary

JPMorgan Chase is seeking a Lead Software Engineer - Agentic AI, Java/Python to drive intelligent automation on NEO and deliver scalable data analytics solutions. You will collaborate with senior stakeholders, design data-enabled products, and lead hands-on engineering across multiple technical areas.

The role requires 5+ years of software engineering, strong Python, React/Next.js, and experience with AI-assisted tooling, containers, and Kubernetes in cloud-native environments.

Qualifications

• Formal training or certification in software engineering with 5+ years of applied experience.
• Strong Python and experience delivering production React (Next.js) web apps.
• Experience using AI-assisted development tools and setting validation standards.
• Cloud native experience with Kubernetes; containerized deployments expected.

Responsibilities

• Executes creative software solutions and complex problem solving.
• Builds agentic solutions on NEO with end-to-end delivery.
• Delivers full-stack surface using React/Next.js with scalable design.
• Writes secure, high-quality production code and reviews peers' code.
• Promotes enterprise AI-assisted engineering practices and testing strategies.
• Leads communities of practice and mentors engineers.

Skills

Python

React/Next.js

AI-assisted tools

SDLC proficiency

Cloud native

Kubernetes

Docker

Terraform

Education

Formal software engineering certification

Tools

Kubernetes

Docker

Terraform

Job description

JPMorgan Chase is seeking a Lead Software Engineer - Agentic AI, Java/Python to drive intelligent automation on NEO and deliver scalable data analytics solutions. You will collaborate with senior stakeholders, design data-enabled products, and lead hands-on engineering across multiple technical areas.

The role requires 5+ years of software engineering, strong Python, React/Next.js, and experience with AI-assisted tooling, containers, and Kubernetes in cloud-native environments.