Principal Engineer - Product Group Engineering Modernisation & AI Adoption
U.S. Bancorp
- Location
- Loughlinstown Ireland
- Work model
- On-Site
- Level
- Principal
- Posted
- Aug 13, 2026
Skills
About this role
At U.S. Bank, we’re on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions, enabling the communities we support to grow and succeed in the right ways, all more confidently and more often—that’s what we call the courage to thrive. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive. Try new things, learn new skills and discover what you excel at—all from Day One. As a wholly owned subsidiary of U.S. Bank, Elavon is committed to building the platforms and ecosystems that help over 1.5 million customers around the world to achieve their financial goals—no matter what they need. From transaction processing to customer service, to driving innovation and launching new products, we’re building a range of tailored payment solutions powered by the latest technology. As part of our team, you can explore what motivates and energizes your career goals: partnering with our customers, our communities, and each other. We actively uphold transparent and fair hiring practices that support individual opportunity, inclusive culture, and career mobility across all levels of our organisation. We offer meaningful opportunities for growth, a culture of inclusion, and a strong commitment to transparency and integrity in everything we do.
Job Description
We are seeking an experienced and visionary Principal Engineer to drive engineering excellence across our technology portfolio. This role will lead the adoption of AI-enabled engineering practices, establish enterprise architecture standards, mentor engineering teams, and guide the modernization of legacy platforms into scalable, cloud-native solutions. The successful candidate will have demonstrated success modernizing legacy platforms, establishing enterprise engineering standards, scaling API and microservice architectures, driving AI adoption, and helping teams mature their product operating model, Agile delivery practices, and engineering disciplines. They are recognized not only for technical expertise but also for their ability to elevate entire engineering organizations through influence, coaching, and leadership. The successful candidate will serve as a technical authority and trusted advisor to engineering leaders, architects, and development teams, helping accelerate delivery while improving quality, resiliency, security, and operational efficiency. This is a hands-on technical leadership role requiring deep expertise in API architecture, microservices, domain-driven design, cloud-native engineering, and AI-assisted software development.
Key Responsibilities
Technology Strategy & Architecture Define and maintain engineering standards, reference architectures, and best practices across the organization. Lead architecture reviews and provide technical governance for strategic initiatives. Drive adoption of modern engineering patterns including: Domain-Driven Design (DDD) Event-Driven Architecture API-First Design Microservices Cloud-Native Platforms AI-Augmented Software Engineering Establish target-state architectures and technology roadmaps for modernization programs. Partner with Enterprise Architecture and Engineering Leaders to align technology investments with business strategy. AI Adoption & Engineering Transformation Champion the adoption of Generative AI and AI-assisted development capabilities across engineering teams. Develop AI engineering standards, guardrails, governance models, and best practices. Coach teams on effective use of AI tools for: Code generation Refactoring Test creation Documentation Legacy modernization Vulnerability remediation Developer productivity improvements Establish measurable outcomes and adoption metrics for AI-enabled engineering. Foster an AI-native engineering culture focused on continuous