Principal Applied AI App Engineer

Role Overview

The Global Business Solution Center (GBSC) Tech team seeks a Principal Applied AI App Engineer to lead design and implementation of Mastercard's evolving AI strategy. This role serves as the GBSC design lead for AI-based solutions within the company's ecosystem.

Key Responsibilities:

• Design and develop production-grade applications embedding machine learning, deep learning, and generative AI capabilities (including LLMs).
• Integrate trained models into APIs, services, workflows, and user interfaces using RAG architectures and prompt engineering.
• Collaborate with Data Science and ML Engineering teams to operationalize prebuilt models.
• Manage model versioning, deployment, monitoring, updates, guardrails for behavior, data quality controls, and responsible AI usage in production environments.
• Ensure applications meet enterprise standards for security, privacy, compliance (Corporate Security Responsibility), and ethical AI practices including bias mitigation and explainability.

About You

We are looking for an expert with advanced skills integrating generative AI into business applications. The ideal candidate has extensive experience deploying production-grade AI solutions with strong observability and monitoring capabilities, solid software engineering background (Python/Java/C#), familiarity with cloud platforms (AWS/Azure/GCP) and containerization, and a passion for automation.

Desirable Capabilities

• Fluency in finance processes and leadership experience advising on AI roadmaps.
• Strong communication skills to collaborate across global time zones with senior executives.