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Lead AI Engineer

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Mastercard

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Location:
Ireland , Dublin 18

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Category:
IT - Software Development

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Contract Type:
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Salary:

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Job Description:

The CNPF Data & AI organisation is looking for a Lead AI Engineering Engineer to drive hands-on delivery of applied AI and agentic capabilities across our platforms. This role sits at the intersection of software engineering, machine learning engineering, and applied data science, with a strong emphasis on building production-grade AI systems. This is a senior individual contributor and technical leadership role. You will lead by example through deep hands-on engineering, influence technical direction, and partner closely with Applied AI, Data Science, and Product teams to take AI solutions from experimentation to secure, scalable production.

Job Responsibility:

  • Lead hands-on development of AI and agentic systems from design through production deployment
  • Build and operate ML/AI services, pipelines, and APIs using strong software engineering practices
  • Design and implement ML engineering capabilities such as model serving, monitoring, evaluation, and retraining
  • Partner with data scientists to productionise models and experiments efficiently
  • Contribute directly to data preparation, feature engineering, experimentation, and modelling when required
  • Drive technical design reviews and provide mentorship to engineers and data scientists
  • Ensure AI solutions meet Mastercard standards for performance, reliability, security, and governance
  • Collaborate closely with platform, security, and infrastructure teams to ship responsibly at scale

Requirements:

  • Strong experience as a hands-on AI engineer, ML engineer, or senior software engineer working on production AI systems
  • Solid foundations in software engineering, system design, and distributed systems
  • Proven experience productionising machine learning models and operating them at scale
  • Comfortable working across data engineering, ML engineering, and applied data science tasks
  • Experience with large-scale data platforms and modern ML/AI tooling
  • Strong problem-solving skills and ability to work with ambiguous requirements
  • Ability to influence technical direction without formal people management responsibility
  • Clear communication skills and comfort collaborating across functions
  • You have built and operated AI or agentic applications that run in real production environments
  • Hands-on experience implementing agent-based or LLM-powered systems beyond simple POCs
  • Strong intuition for reliability, observability, and failure handling in AI systems
  • Ability to move fluidly between engineering execution and applied modeling when needed
  • Track record of raising the technical bar for teams through code, design, and mentorship

Additional Information:

Job Posted:
April 27, 2026

Expiration:
October 10, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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