Lead AI Tooling Engineer for Employee Platforms

Next Frontier Capital; Dublin; On-site; EUR 120,000 - 180,000; Full time

Job summary

J.P. Morgan seeks a Lead Software Engineer – AI Tooling for its Employee Platforms to design secure, scalable software and enhance AI tooling in an agile environment.

You will contribute to architecture, develop production code, and collaborate across product, design, engineering, and cloud teams to deliver impactful solutions. The role focuses on enabling agentic workflows, improving developer productivity, and applying responsible AI practices while driving continuous integration, delivery,

Qualifications

• Formal training or certification on software engineering concepts and proficient applied experience.
• Experience developing, debugging, and maintaining software in a large-scale technology environment.
• Proficiency with Python and experience applying it to production software development.
• Experience using AI coding assistants or AI-enabled engineering tools to improve development workflows.
• Understanding of AI agents, agentic flows, and how they can be applied to software solutions.
• Working knowledge of the software development life cycle, including design, build, test, deploy, and support activities.
• Experience with agile delivery practices, continuous integration, continuous delivery, application resiliency, and secure coding.
• Practical experience with cloud-native development, preferably using Amazon Web Services.
• Experience with one or more database querying languages and working with data to support application development.
• Demonstrated experience leading effective use of approved AI-assisted software development tools with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices

Responsibilities

• Design and deliver secure, high-quality software solutions that support employee-facing technology products
• Develop, debug, and maintain production code using modern engineering practices and scalable design patterns
• Contribute to architecture and design artifacts while ensuring software solutions meet functional, security, and resiliency requirements
• Build and enhance AI-enabled tooling, including solutions that support agentic workflows and improved developer productivity
• Analyze complex data sets and create insights, reporting, or visualizations that help improve applications and user outcomes
• Collaborate with product, design, engineering, and cloud platform teams to deliver solutions in an agile environment
• Apply continuous integration, continuous delivery, testing, and operational practices to improve software quality and reliability
• Participate in software engineering communities and contribute to a culture of learning, inclusion, and technical excellence
• Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation
• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems

Skills

Python

AI tooling

AI agents

CI/CD

AWS

Databases

Secure coding

SDLC

Agile delivery

Code review

Tools

AWS

SQL/NoSQL

AI-assisted development tools

Job description

J.P. Morgan seeks a Lead Software Engineer – AI Tooling for its Employee Platforms to design secure, scalable software and enhance AI tooling in an agile environment.

You will contribute to architecture, develop production code, and collaborate across product, design, engineering, and cloud teams to deliver impactful solutions. The role focuses on enabling agentic workflows, improving developer productivity, and applying responsible AI practices while driving continuous integration, delivery,