Lead Software Engineer, Agentic AI—Java/Python

JPMorgan Chase; Chicago (IL); On-site; USD 138,000 - 215,000; Full time

Job summary

JPMorganChase invites a Lead Software Engineer to accelerate AI-driven financial software. You will lead a local team in Jersey City or Chicago, shaping AI/ML software, ensuring security and reliability while delivering scalable systems in Java or Python.

You will collaborate with product teams to define technical visions, implement roadmaps, and apply enterprise AI practices across the SDLC, driving high-quality code and impactful results.

Qualifications

• Formal training or certification in software engineering concepts.
• 5+ years of applied software engineering experience.
• Experience integrating AI/ML into software systems and security-conscious design.
• Familiarity with agentic workflows and frameworks (LangChain, LangGraph, Auto-GPT).
• Proven ability to mentor teams and deliver production-grade solutions.

Responsibilities

• Execute creative software solutions and troubleshoot complex problems.
• Lead a local team of engineers and AI/ML practitioners in a global organization.
• Collaborate with product teams to set technical vision and AI roadmaps.
• Translate business requirements into robust AI/ML software specifications.
• Architect and develop secure, scalable systems in Java or Python with AI/ML.
• Automate recurring issues to improve reliability and delivery speed.
• Design experiments, validate results, and productionize AI/ML solutions.
• Promote enterprise AI practices and ensure secure, validated outputs.

Skills

Java

Python

AI/ML

LangChain

LangGraph

Auto-GPT

Agile

Mentoring

CI/CD

AWS

Security

Software Architecture

Tools

LangChain

LangGraph

Auto-GPT

AWS

TensorFlow

PyTorch

Job description

JPMorganChase invites a Lead Software Engineer to accelerate AI-driven financial software. You will lead a local team in Jersey City or Chicago, shaping AI/ML software, ensuring security and reliability while delivering scalable systems in Java or Python.

You will collaborate with product teams to define technical visions, implement roadmaps, and apply enterprise AI practices across the SDLC, driving high-quality code and impactful results.