Lead AI Engineer

Mastercard is seeking a Lead AI Engineer to drive the achievement of strategic goals and initiatives through advanced technical knowledge in AI Engineering. The successful candidate will be a subject matter expert in AI Engineering, influencing stakeholders and applying expertise to deliver key initiatives and outcomes.

Requirements

• Be the subject matter expert in AI Engineering, influencing stakeholders and applying advanced expertise to deliver key initiatives and outcomes.
• Design, develop, and maintain advanced AI and machine learning systems that address complex and high‐impact business challenges.
• Implement AI/ML models into production environments, designing and maintaining scalable training pipelines and robust deployment frameworks.
• Build, optimize, and evolve data ingestion, preprocessing, and feature engineering workflows to support reliable model training and inference at scale.
• Automate end‐to‐end workflows for model training, testing, deployment, and updates using CI/CD and MLOps best practices.
• Monitor model performance in production, manage model and data versioning, and lead model updates or enhancements to sustain high‐quality outputs over time.
• Ensure the operational stability, scalability, and resilience of AI systems, while adhering to ethical AI principles and contributing to shared AI platforms and infrastructure.
• Guide and mentor junior engineers through hands‐on collaboration, design and code reviews, and technical coaching, fostering a culture of continuous improvement and engineering excellence.
• Contribute to solution development for new products or services and lead smaller initiatives or workstreams within larger AI programs.