Software Engineer II -AI-Native - Branch Technology

JPMorgan Chase & Co. • Plano, TX

8h

About The Position

As a Software Engineer II on JPMorganChase’s Corporate Sector Employee Platform team, you will work in an agile team to enhance, design, and deliver secure, stable, and scalable software. You will build and operate features for the branch automation platform used across JPMorganChase’s retail branch network, working across the stack and owning features from idea through deployment. You will work closely with senior engineers and contribute to the architecture while continuing to develop your engineering skills.

The team is modernizing a traditional C#, .NET, and PowerShell estate into an agentic-first platform. The role emphasizes production Python, integration of tools and services, and AI-assisted development throughout the software lifecycle. Prior AI expertise is not required, but you should be an experienced software engineer interested in building with AI and learning agentic patterns.

Requirements

• Formal training or certification in software engineering concepts and at least 2 years of applied experience.
• Hands-on experience shipping production software, with strong fundamentals in data structures, algorithms, and system design.
• Proficiency in Python, or strong proficiency in another modern programming language and the ability to learn Python quickly.
• Hands-on experience using enterprise-authorized AI-assisted software development tools at work for coding, testing, troubleshooting, or documentation, and ability to critically evaluate and validate AI-generated output.
• Understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs and outputs, and resiliency and security expectations.
• Solid understanding of testing, code review, source control, and CI/CD.
• Experience debugging and operating services in a public or private cloud environment.
• Curiosity and enthusiasm for AI-native work, willingness to use AI-assisted development tools, and interest in learning agentic patterns on the job.
• Sound judgment when using AI-assisted output, including reviewing and validating recommendations before use and escalating when uncertain.

Nice To Haves

• Exposure to C#, .NET, or PowerShell.
• Hands-on experience with LLM-integrated or agentic systems, including coursework, side projects, or production experience, or with multi-agent frameworks such as Google ADK, LangGraph, or AutoGen.
• Familiarity with MCP (Model Context Protocol) tool integration or tools-first API design patterns.
• Interest in infrastructure or platform engineering and automation at scale.

Responsibilities

• Design, build, test, and ship production code for the branch automation platform, owning features from idea to deployment.
• Write clean, well-tested Python and contribute to C#, .NET, and PowerShell as the existing estate is modernized.
• Use enterprise-authorized AI coding-assistance tools to improve code quality, delivery speed, and productivity, validating generated output through peer review, automated testing, and secure coding standards.
• Build and integrate automation and tooling, including early agentic workflows and MCP tool integrations, under architectural direction.
• Use software development lifecycle toolchain capabilities, including enterprise-authorized AI-assisted development and automation, to improve the value delivered by automation.
• Use enterprise-authorized AI capabilities in daily work, validating outputs and handling operational data according to sensitivity and security standards.
• Debug across the stack, consider upstream and downstream impacts, raise issues early, and meet compliance, risk, resiliency, and security expectations.
• Collaborate in a lean team, learn quickly, and strengthen engineering practices through code reviews and shared practices.

Benefits

• Competitive total rewards package, including base salary and, for eligible roles, commission-based pay and/or discretionary incentive compensation in cash and/or forfeitable equity.
• Comprehensive health care coverage.
• On-site health and wellness centers.
• Retirement savings plan.
• Backup childcare.
• Tuition reimbursement.
• Mental health support.
• Financial coaching.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed