AI Platform Architect & Engineering Lead

Mastercard; Blanchardstown; On-site; EUR 120,000 - 170,000; Full time

Job summary

Mastercard is seeking a Lead AI Platform Engineer to drive the design, development, and evolution of the enterprise AI platform within Mastercard's AI Center of Excellence. You will lead a team of AI Engineers, establish platform capabilities, standards, and operational practices to accelerate AI adoption across the enterprise.

You will collaborate with Enterprise Architecture, Cloud Engineering, Data Engineering, Security, Product Management, and Data Science to deliver a secure, scalable AI

Qualifications

• Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, or related field.
• Extensive experience designing and operating enterprise software platforms, cloud-native apps, or AI/ML platforms.
• Experience leading and mentoring engineering teams in an enterprise environment.
• Strong Python development skills.
• Deep expertise with Kubernetes, Docker, APIs, microservices, IaC, and cloud platforms.

Responsibilities

• Lead the design and evolution of Mastercard's enterprise AI platform, providing reusable services, tools, and frameworks that accelerate AI solution delivery.
• Manage and mentor a team of AI Engineers, providing technical guidance, coaching, performance feedback, and career development.
• Define the technical roadmap for AI platform capabilities, ensuring alignment with business priorities and enterprise technology strategy.
• Build and maintain shared AI services including model serving, inference APIs, feature stores, vector databases, prompt management, AI gateways, model registries, and developer self-service capabilities.

Skills

Python

Kubernetes

Docker

APIs

Microservices

Infrastructure as Code

Cloud Platforms (AWS/Azure/GCP)

Leadership

Education

Bachelor's or Master's in CS/Software Eng/AI

Tools

Kubernetes

Docker

APIs

Terraform

CI/CD

Job description

Mastercard is seeking a Lead AI Platform Engineer to drive the design, development, and evolution of the enterprise AI platform within Mastercard's AI Center of Excellence. You will lead a team of AI Engineers, establish platform capabilities, standards, and operational practices to accelerate AI adoption across the enterprise.

You will collaborate with Enterprise Architecture, Cloud Engineering, Data Engineering, Security, Product Management, and Data Science to deliver a secure, scalable AI