Senior Lead Software Engineer, AI Agentic

JPMorgan Chase

Confirmed live yesterday Low trust

Quick summary

Work type
On-site
Location
Columbus, OH
Posted
74 days ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $219k
$177k most similar roles pay here $254k

This listing doesn't post a salary. Most similar roles pay $192,050–$246,150.

Based on 240 similar postings.

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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 · Senior Lead Software Engineer, AI Agentic

As an AI Agentic Sr Lead Software Engineer on the Consumer & Community Banking Small Business Lending Team, you will drive technical strategy and delivery for a lending platform by embedding AI-native capabilities like agentic workflows and LLM-powered features into core products. You will manage complex projects, lead cross-product collaborations, and serve as the primary interface with senior stakeholders to align competing objectives. Your daily work involves building large-scale high-performance digital applications using distributed systems, cloud technologies including AWS, GCP, and Azure, and modern patterns like microservices and APIs. You will champion an AI-augmented engineering culture by implementing tools such as GitHub Copilot, Cursor, and Claude while establishing governance for secure coding, automated testing, and code review. The role focuses on solving technical challenges in the lending space through robust system design and responsible AI integration.

What you'll do

  • Drive the technical strategy and delivery of a lending platform featuring AI-native capabilities and agentic workflows.
  • Lead multiple technology implementations across departments to achieve firmwide objectives.
  • Act as the primary interface with senior leaders and stakeholders to drive consensus on competing goals.
  • Manage complex projects and large cross-product collaborations involving multiple stakeholders.
  • Drive adoption and governance of AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes.
  • Establish measurable validation standards for secure coding, automated testing, and the reuse of proven patterns.
  • Implement enterprise-authorized AI tools for coding, code review, test acceleration, and troubleshooting.
  • Ensure responsible AI usage by enforcing data sensitivity, security protocols, and compliant usage patterns.

What we're looking for

  • Formal training or certification in software engineering concepts and at least 5 years of applied experience.
  • Proven track record using AI coding assistants to accelerate development cycles and coaching teams on their adoption.
  • Experience designing and deploying agentic systems and LLM-powered features in production environments.
  • Deep expertise in system design, application development, testing, and operational stability for web or mobile platforms.
  • Expertise in building large-scale high-performance digital applications using distributed systems and cloud technologies (AWS, GCP, Azure).
  • Experience with enterprise design patterns, modern technologies, and microservices.
  • Experience leading, mentoring, and managing technology teams and other leaders within the organization.
  • Experience implementing industry standard cybersecurity and technology controls.

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