Senior AI Architect & Growth Strategy Lead

Mastercard; Dublin; On-site; EUR 140,000 - 190,000; Full time

Job summary

Mastercard, a global technology leader in payments, is seeking a Principal AI Engineer to drive architecture and implementation of AI-powered opportunities. You will shape technical feasibility, mentor engineers, and collaborate across product, sourcing, and engineering to scale innovative solutions.

The role emphasizes building distributed, production-grade AI platforms, integrating LLMs, and ensuring security and reliability at scale. Dublin office-based with global impact and collaboration.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
• Significant experience building distributed, production-grade software systems in an agile environment.
• Strong backend engineering experience with Java, Kotlin, Python or Scala and related technologies.

Responsibilities

• Serve as senior technology and architecture advisor for new business opportunities, ensuring feasibility and architectural implications are considered early.
• Partner with product, business, sourcing, and engineering teams to shape hypotheses, solution concepts, and business cases.
• Evaluate new ideas and technology trends through a technology, architecture and capability lens.
• Support design and evolution of AI-enabled opportunity identification capabilities, including taxonomies and agent workflows.
• Assess whether opportunities are best pursued via build, partner, invest, or acquire pathways, with clear technical recommendations.

Skills

Distributed systems

Backend engineering

APIs

Architectural decisions

Mentoring

Cloud architectures

Data-driven scaling

Python

Education

Bachelor’s degree in Computer Science or related

Tools

Java

Kotlin

Python

Scala

Spark

SQL

Job description

Mastercard, a global technology leader in payments, is seeking a Principal AI Engineer to drive architecture and implementation of AI-powered opportunities. You will shape technical feasibility, mentor engineers, and collaborate across product, sourcing, and engineering to scale innovative solutions.

The role emphasizes building distributed, production-grade AI platforms, integrating LLMs, and ensuring security and reliability at scale. Dublin office-based with global impact and collaboration.