Software Engineer III, Agentic AI

JPMorgan Chase

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Quick summary

Work type
On-site
Location
OH
Employment
Full-time
Posted
11 days ago
Freshness
Confirmed live today

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Salary context

How this pay compares to similar roles

Similar $198k
$139k $254k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $152,581–$243,250.

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 1226 open roles on FindRole.

Listed pay typically runs $156,750–$215,000 across 5 roles with salary data.

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At a glance

TL;DR · Software Engineer III, Agentic AI

As a Software Engineer III (Agentic AI) within the Consumer and Community Banking/Deposit 2.0 team, you will serve as a seasoned member of an agile team designing and delivering trusted, scalable technology products. You are responsible for executing software solutions, creating high-quality production code, and maintaining algorithms while troubleshooting complex technical problems. Your daily work involves producing architecture artifacts, developing visualizations from large datasets, and leveraging enterprise-authorized AI coding assistants like GitHub Copilot, Cursor, and Claude to improve delivery speed and code quality. You must apply knowledge of the Software Development Life Cycle, CI/CD, and security standards. Preferred skills include Java, Spring Boot, Kafka, AWS services, and Terraform to build scalable microservices and manage infrastructure as code within a large corporate environment.

What does a Software Engineer earn?

Median $197400 from 2576 postings across 150 companies.

See salary data

What you'll do

  • Design and develop secure, high-quality production code and maintain synchronous algorithms.
  • Execute technical troubleshooting and build solutions for complex technical problems.
  • Use enterprise-authorized AI coding tools to generate, refactor, and test code.
  • Produce architecture and design artifacts for complex applications while ensuring design constraints are met.
  • Analyze large datasets to create visualizations and reports for continuous system improvement.
  • Identify hidden patterns in data to improve coding hygiene and system architecture.
  • Apply SDLC tools and automation capabilities to improve software delivery value.

What we're looking for

  • Formal training or certification on software engineering concepts and 3+ years of applied experience.
  • Hands-on practical experience in system design, application development, testing, and operational stability.
  • Experience developing, debugging, and maintaining code in a large corporate environment using modern programming and database querying languages.
  • Hands-on experience using enterprise-authorized AI-assisted software development tools to create, validate, and refine outputs for correctness and security.
  • Understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs/outputs, and resiliency expectations.
  • Overall knowledge of the Software Development Life Cycle and solid understanding of agile methodologies like CI/CD, Application Resiliency, and Security.
  • Experience creating scalable microservices using Java, Spring Boot, and Kafka for financial services (preferred).
  • Experience with AWS services, Terraform for Infrastructure as Code, and practical cloud-native experience (preferred).

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