Principal AI Platform Engineer

Mastercard

Maynooth

On-site

EUR 120,000 - 180,000

Full time

6 days ago
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Job summary

Mastercard is seeking a Principal Software Engineer to accelerate AI-enabled transformation within Advisors & Transformation. You will design a scalable AI Platform, orchestrate agentic capabilities, and partner with business, data, and engineering leaders to deliver secure, production-ready intelligence solutions across consulting engagements.

Responsibilities include defining architecture, driving AI enablement, and mentoring engineering teams to adopt reusable patterns and best practices at

Qualifications

  • Bachelor’s degree in computer science, Engineering, or equivalent practical experience.
  • Significant professional experience building distributed, production-grade software systems in an agile environment.
  • Experience executing a technology strategy for a market-facing business with cross-functional collaboration.
  • Strong understanding of GenAI, agentic workflows, and orchestration patterns.
  • Experience scaling productivity capabilities across large teams, including AI platforms.

Responsibilities

  • Design and build a scalable, reusable AI Platform for the program.
  • Lead technical design and architecture, ensuring scalability, security, and performance.
  • Collaborate with cross-functional teams to deliver innovative AI solutions.
  • Guide architecture and platform decisions during incubation, prototype, and scale.

Skills

Distributed systems
Full-stack engineering
Agile environment
GenAI / agentic workflows
APIs & services

Education

Bachelor’s degree in Computer Science or Engineering

Tools

AWS EMR
Aurora
Databricks
Snowflake

Job description

Mastercard is seeking a Principal Software Engineer to accelerate AI-enabled transformation within Advisors & Transformation. You will design a scalable AI Platform, orchestrate agentic capabilities, and partner with business, data, and engineering leaders to deliver secure, production-ready intelligence solutions across consulting engagements.

Responsibilities include defining architecture, driving AI enablement, and mentoring engineering teams to adopt reusable patterns and best practices at

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