Mastercard is looking to solve the problem of powering economies and empowering people in 200+ countries and territories worldwide by making transactions secure, simple, smart, and accessible, and to build a sustainable economy where everyone can prosper.
Requirements
- Experience with Machine Learning Algorithms, AI and GenAI tools and processes.
- Knowledge about GenAI designs and architectural patterns including MCP (Model Context Protocol), Agentic AI, Retrieval Augment Generation (RAG) and current LLM’s
- Deep expertise in cloud-native development private (Pivotal) and public (AWS, Azure, GCP)
- Optimize for both cost as well as performance and choosing models that are optimal given the business and technology environment
- Excellent understanding of software architecture principles and design patterns
- Strong communication and interpersonal skills with the ability to influence at multiple levels
- Demonstrated ability to recruit, develop, and retain top engineering talent
Responsibilities
- Hands-on with developing GenAI solutions for Payment Networks including in the development of various ML/AI services such as MCP server, Vibe Coding Platform and Agent AI services.
- Manages the RTGS, Reporting aspect of the Customer Funds Management within Treasury Services and the teams that engineer that critical portion of Settlement.
- Formally supervise and coach teams of engineers to build, enhance, and support tools, services and products to support the Payment Networks group in the delivery of internal Products, Platforms, or services.
- Drive the implementation of Vibe Coding solutions; Model Context Protocol servers, Agentic AI solutions including Retrieval Augmented Generation RAG) solutions.
- Provide strategic thinking and leadership related GenAI for Payment Networks applications and systems.
- Recruit and hire the right talent, always bringing in someone better than at least half the individuals in the role
- Continuously engage and improve teams’ performance by conducting recurring 1-1 meetings, knowing your people, managing career development, and understanding who is at risk
Other
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
- 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, and
- Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.
