Senior AI Engineer
Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential.
The CNPF Data & AI organisation is looking for a Senior AI Engineer to contribute hands-on to the 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 focus on building and operating production-grade AI systems. This is a senior individual contributor role. You will work closely with Applied AI, Data Science, and Product teams to help take AI solutions from experimentation through to secure, scalable production — bringing strong engineering rigour and a collaborative mindset to everything you build.
Role
Develop and contribute to AI and agentic systems across the full lifecycle from design through production deployment
Build and operate ML/AI services, pipelines and APIs using strong software engineering practices
Implement ML engineering capabilities including model serving, monitoring, evaluation and retraining
Partner with data scientists to productionise models and experiments efficiently
Contribute to data preparation, feature engineering, experimentation and modelling as needed
Participate in technical design reviews and support knowledge sharing across engineering and data science teams
Ensure AI solutions meet Mastercard standards for performance, reliability, security and governance
Collaborate with platform, security, and infrastructure teams to ship responsibly at scale
All about you
Solid experience as a hands-on AI engineer, ML engineer, or software engineer working on production AI systems
Strong foundations in software engineering, system design, and distributed systems
Practical experience productionising machine learning models and supporting their operation at scale
Comfortable working across data engineering, ML engineering, and applied data science tasks
Familiarity with large-scale data platforms and modern ML/AI tooling
Good problem-solving skills with the ability to navigate ambiguous requirements
Collaborative and communicative, able to work effectively across functions and disciplines
What makes you stand out
You have contributed to AI or agentic applications running in real production environments
Hands-on experience with agent-based or LLM-powered systems beyond simple POCs
Good instincts for reliability, observability, and failure handling in AI systems
Ability to move between engineering execution and applied modelling depending on what the problem needs
Eagerness to grow technically and contribute positively to the engineering culture around you
Corporate Security Responsibility
All activities involving access to Mastercard assets, information, and networks come with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
Abide by Mastercard's security policies and practices
Ensure the confidentiality and integrity of the information being accessed
Report any suspected information security violation or breach
Complete all mandatory security trainings in accordance with Mastercard's guidelines