Lead Software Engineer, Agentic AI

JPMorgan Chase

Confirmed live yesterday Low trust

Quick summary

Work type
On-site
Location
Jersey City, NJ
Posted
32 days ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $214k
$178k most similar roles pay here $241k

This listing doesn't post a salary. Most similar roles pay $192,050–$235,187.

Based on 240 similar postings.

Employer

About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 1117 open roles on FindRole.

Listed pay typically runs $186,160–$215,000 across 7 roles with salary data.

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At a glance

TL;DR · Lead Software Engineer, Agentic AI

As a Lead Software Engineer - Agentic AI, Java/Python on the Engineering and Architecture Team, you will serve as a core technical contributor within an agile environment. You will lead a local team of software engineers and applied AI/ML practitioners to develop secure, high-quality production code while translating business requirements into robust software and AI/ML specifications. Your daily work involves architecting systems using Java or Python, integrating advanced techniques like LLMs, Generative AI, NLP, and RAG. You will design experiments, implement algorithms, and productionize scalable solutions while driving the adoption of AI-assisted engineering practices. The role requires expertise in agentic workflows using frameworks like LangChain, LangGraph, or Auto-GPT, alongside proficiency in TensorFlow, PyTorch, Scikit-Learn, and AWS cloud-native development to solve complex problems within the financial services industry.

What you'll do

  • Develop secure, high-quality production code using Java or Python.
  • Lead a local team of software engineers and AI/ML practitioners to drive accountability.
  • Architect and develop scalable software systems integrating LLMs, Generative AI, and other ML techniques.
  • Translate business requirements into technical specifications and manage delivery via Agile methodologies.
  • Design experiments and implement algorithms to productionize performant and trustworthy AI solutions.
  • Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality and speed.
  • Identify opportunities to automate and remediate recurring issues to improve system reliability.
  • Establish consistent validation standards for secure coding, peer review, and automated testing.

What we're looking for

  • Formal training or certification in software engineering concepts.
  • 5+ years of applied experience in software engineering.
  • Advanced proficiency in Java or Python for system development, testing, and operational stability.
  • Experience integrating AI/ML techniques including LLMs, Generative AI, NLP, RAG, and coding assistants.
  • Familiarity with agentic workflows and frameworks such as LangChain, LangGraph, and Auto-GPT.
  • Experience managing and mentoring software engineering or AI/ML teams as a hands-on practitioner.
  • Demonstrated experience leading the use of approved AI-assisted development tools while ensuring security and performance.
  • Proficiency in automation, CI/CD, and cloud-native development (preferably AWS).

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