Drimva

JPMorgan Chase

Lead Software Engineer - Agentic AI, Java/Python

$138K–$215K

Jersey City, NJ +1 · Full-time · Posted Sep 11, 2026

Location
Jersey City, NJ
Chicago, IL
Experience
5+ years applied experience; no alternative stated.
Education
Formal training or certification in software engineering concepts.

About the job

Leads a software engineering team building secure, scalable Java or Python systems that integrate agentic AI and other AI/ML capabilities for the Commercial and Investment Bank.

What you'll do

  • Architects, develops, tests, and troubleshoots production software and AI/ML solutions.
  • Leads and mentors engineers and AI/ML practitioners, and works with product and business teams on technical vision and delivery roadmaps.
  • Promotes approved AI-assisted engineering practices, automation, and validation standards to improve quality, reliability, and delivery.

What they ask for

  • Formal training or certification in software engineering concepts and 5+ years of applied experience.
  • Advanced proficiency in Java or Python and strong software engineering, system design, testing, and operational stability skills.
  • Familiarity with agentic workflows and frameworks; experience integrating AI/ML, including LLMs, Generative AI, NLP, RAG, AI evaluations, and coding assistants.
  • Experience leading or mentoring engineering or AI/ML teams and delivering production-grade solutions; proficiency in automation, CI/CD, and cloud-native development.

Nice to have

  • AWS certifications (Solution Architect Associate or Professional) and practical cloud-native experience.
  • Financial services industry and IT systems knowledge.

Pay

$156,750.00-$215,000.00 USD base salary; $137,750.00-$185,000.00 USD base salary

Tools

Java, Python, LangChain, LangGraph, Auto-GPT, TensorFlow, PyTorch, Scikit-Learn

AI focus

Develops and productionizes agentic AI and AI/ML software, including LLM, Generative AI, NLP, and RAG capabilities; leads responsible use of approved AI-assisted engineering tools and validation practices.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 4, 2026 (UTC)