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Mastercard Logo Mastercard · IT - Software Development

Principal AI Engineer

Ireland, Dublin 18 · Job Posted June 08, 2026
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Job Description

We are seeking a highly accomplished Principal AI Engineer to define and drive the technical direction of our AI platforms and solutions. This role is focused on architecting, building, and scaling production-grade AI systems that deliver durable business impact. As a senior technical authority, you will lead through deep hands-on expertise, influence technical strategy across teams, and raise the engineering bar for AI development across the organization. The ideal candidate combines exceptional engineering depth with strong system design skills, applied research experience, and the ability to guide complex AI initiatives from conception through global-scale production

Job Responsibility

  • Define and drive the technical direction of our AI platforms and solutions
  • Architect, build, and scale production-grade AI systems that deliver durable business impact
  • Lead through deep hands-on expertise, influence technical strategy across teams, and raise the engineering bar for AI development across the organization
  • Design, implement, and operate advanced AI systems that support critical business and client needs in a scalable, secure, and reliable manner
  • Partner closely with product, engineering, and data leaders to translate business intent into robust AI architectures and platforms

Requirements

  • Demonstrated experience designing and building AI/ML systems in production at scale, ideally across multiple problem domains
  • Expert-level proficiency in Python and deep experience with modern AI frameworks such as PyTorch and TensorFlow
  • Strong experience with cloud-native architectures and AI infrastructure on platforms such as AWS, Azure, or GCP
  • Deep understanding of machine learning, deep learning, NLP, generative AI, and transformer-based architectures (e.g., BERT, GPT-style models, ViTs)
  • Proven expertise in MLOps, including model versioning, deployment strategies, monitoring, evaluation, and lifecycle management
  • Strong systems-thinking mindset, with experience designing resilient, scalable, and cost-efficient AI services
  • Experience working with large-scale data architectures, streaming and batch processing, and model inference optimization
  • Excellent communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders
  • Track record of technical mentorship and influence without relying on formal line management
  • Comfortable operating in high-ambiguity environments and making sound technical judgments with incomplete information
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