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Mastercard Logo Mastercard · IT - Software Development

Director of AI Engineering

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

Mastercard is seeking a Director of AI Engineering to lead a specialised team of AI engineers focused on foundation model development and the delivery of high‑value AI use cases. This role is responsible for driving the practical application of transformer‑based and generative AI capabilities—ensuring models are effectively developed, adapted, and deployed to solve real business problems. You will lead a team working at the intersection of model development and use case execution, translating foundational AI capabilities into scalable, production‑ready solutions. The role requires strong technical judgement, delivery leadership, and the ability to balance innovation with enterprise requirements for reliability, security, and governance.

Job Responsibility

  • Lead a team of AI engineers focused on foundation model development, fine-tuning, and optimisation, particularly transformer-based and generative AI systems
  • Drive the end-to-end delivery of AI use cases, from problem definition through model integration and production deployment
  • Partner with product and business stakeholders to identify and prioritise high-impact AI use cases, translating them into clear technical execution plans
  • Ensure effective use of foundation models across use cases, including prompting strategies, embeddings, fine-tuning, evaluation, and performance optimisation
  • Collaborate with data engineering and platform teams to ensure data readiness, model integration, and scalable deployment patterns
  • Establish best practices for model evaluation, experimentation, and continuous improvement, ensuring solutions are robust and measurable
  • Embed responsible AI practices, including model validation, bias considerations, and appropriate guardrails
  • Provide technical guidance and coaching to engineers, ensuring high standards in both AI development and software engineering practices
  • Track delivery progress, manage risks, and ensure timely, high-quality execution of use cases aligned to program priorities

Requirements

  • Proven experience leading teams delivering AI/ML solutions in production, particularly in use-case driven environments
  • Strong hands-on understanding of transformer architectures and generative AI, including fine-tuning, prompting, embeddings, and evaluation
  • Experience bridging model development and real-world application, translating AI capabilities into business impact
  • Solid engineering background, with familiarity with Python, ML frameworks (e.g. PyTorch/TensorFlow), and production deployment patterns
  • Experience working with data engineering and MLOps practices to support training, evaluation, and inference at scale
  • Strong stakeholder management skills, with the ability to align technical delivery to business priorities and measurable outcomes
  • Demonstrated ability to lead and develop high-performing teams, providing technical direction, coaching, and delivery oversight
  • Comfortable operating in a fast-moving, evolving AI landscape with ambiguity and shifting priorities
  • Excellent communication skills, able to articulate complex AI concepts to both technical and non-technical audiences
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