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Manager of Software Engineering (AI Tooling)

JPMorganChase -
DUBLIN 2, County Dublin

Apply Now

Job details

Full-time

Qualifications

CI/CD
Java
AWS
Agile
AI
Python
Spring framework
Debugging
SDLC

Full job description

JOB DESCRIPTION

Build technology that helps colleagues do their best work every day. In this role, you'll guide engineering teams delivering AI-enabled developer experiences and employee platform capabilities at enterprise scale. You'll join a collaborative, inclusive environment where modern engineering practices and continuous improvement are core to how we work. If you enjoy coaching engineers, partnering with stakeholders, and turning complex problems into reliable products, you'll find room to grow here. You'll help raise the bar on quality, speed, and safe adoption of AI-assisted engineering practices.

Job Summary:
As a Manager of Software Engineering (AI Tooling) in the Employee Platform Technology team, you will lead multiple engineering teams to design and deliver secure, stable, and scalable products that empower our employees. You will drive day-to-day execution, remove delivery obstacles, and ensure solutions meet compliance standards and business requirements. You will champion enterprise-authorized AI-assisted engineering practices with clear expectations for human validation and secure handling of inputs and outputs. You will foster a culture of collaboration, inclusion, and engineering excellence while improving developer experience and platform outcomes.

Job Responsibilities

Lead software engineering teams to deliver high-quality products iteratively and efficiently
Set clear expectations for team output, practices, and collaboration
Execute and oversee solution design, development, and technical troubleshooting across the delivery lifecycle
Write, review, and maintain secure production code and supporting algorithms aligned to design constraints
Produce and contribute to architecture and design artifacts for applications and platform capabilities
Drive adoption of enterprise-authorized AI-assisted engineering practices and automation to improve speed, quality, and operational outcomes
Define ways of working for AI-assisted development, including review and validation expectations and secure handling of inputs and outputs
Anticipate cross-team dependencies and coordinate delivery to meet business requirements
Manage stakeholder relationships and deliver in alignment with compliance standards and service level agreements
Analyze and synthesize insights from large, diverse data sets to improve products, reporting, and engineering effectiveness
Contribute to engineering communities of practice and help strengthen an inclusive, respectful team culture

Required Qualifications, Capabilities, and Skills

Formal training or certification in software engineering concepts
Demonstrated experience managing software engineers and leading technology delivery
Proficiency in the Software Development Life Cycle and modern engineering toolchains
Working knowledge of agile practices, including continuous integration and continuous delivery, resiliency, and security
Experience developing, debugging, and maintaining production systems in a large enterprise environment
Proficiency with Python and AI coding assistants in engineering workflows
Understanding of AI agents and agentic workflows and how they impact software delivery
Experience leading responsible adoption of enterprise-authorized AI-assisted development tools, including setting review/validation practices and measuring outcomes
Understanding of responsible AI use in engineering workflows, including data sensitivity, security/resiliency implications, and governance expectations
Practical cloud-native experience with AWS

Preferred Qualifications, Capabilities, and Skills

Familiarity with modern front-end technologies
Experience working with databases and database querying languages
Experience with Java or Kotlin and Spring Boot
Experience optimizing developer tooling and engineering automation at scale
Experience building reusable patterns and standards adopted across multiple teams

ABOUT US

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

ABOUT THE TEAM

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

Apply Now

Refine Your Search

engineering (ai tooling) jobs

Manager of Software Engineering (AI Tooling)

Engineering - Internal AI Transformation

Lead Software Engineer - AI Tooling

Staff Software Engineer, AI Reliability Engineering

Software Engineer III - AI & IoT

Swift Software Engineer, Employee Experience Engineering

AI Engineer

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Software Engineer - Agentic AI & API Platform

Sr Machine Learning / AI Engineer / MLOps Engineer

AI Support Engineer - Dublin

AI/ML Agent Engineer — Front-End Focus

AI/ML Associate Engineer

AI DevOps Engineer

Software Engineering Manager

Senior Engineer, Applied AI

Frontend Software Engineer

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Senior Full Stack Engineer, Employee Experience Engineering

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