AI Engineer

Mastercard is hiring an AI Engineer in Gurgaon.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary AI Engineer

Responsibilities

• Design, develop, and deploy AI/ML, Generative AI, and Agentic AI solutions to solve complex business problems and improve operational efficiency.
• Build and maintain Large Language Model (LLM) applications, Retrieval-Augmented Generation (RAG) pipelines, intelligent agents, and multimodal AI solutions from prototype through production deployment.
• Design AI agent architectures, orchestration frameworks, and inter-agent communication protocols to automate business and technology workflows.
• Develop scalable backend services, API layers, and supporting technical components required to operationalize AI solutions.
• Collaborate with business stakeholders, product owners, and domain experts to identify high-impact AI opportunities and translate business requirements into technical solutions.
• Build and maintain cloud-native AI/ML pipelines, model deployment frameworks, and data integration workflows using modern AI platforms and cloud technologies.
• Implement MLOps and LLMOps practices to support deployment, monitoring, quality assurance, reproducibility, and lifecycle management of AI solutions.
• Evaluate emerging AI technologies, frameworks, and tools through proofs of concept and rapid prototyping.
• Ensure all AI solutions adhere to Mastercard's security, privacy, responsible AI, and governance standards.
• Implement Responsible AI controls including bias monitoring, hallucination mitigation, explainability, model validation, and AI safety guardrails.
• Partner across analytics, engineering, product, and business teams to identify AI integration opportunities and drive enterprise adoption of AI capabilities.
• Communicate technical concepts, solution designs, and business value effectively to both technical and non-technical audiences.

All About You:

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Engineering, Data Science, or a related technical field.
• Experience in designing, developing, and deploying AI, Generative AI, or machine learning solutions in production environments.
• Hands-on experience building LLM applications, Agentic AI systems, and RAG architectures from concept through deployment.

About Mastercard

The Global Pricing & Interchange (P&IC) team plays a critical role in shaping Mastercard’s economics strategy and enabling profitable growth across products, services, and markets. The team partners with regional and global business units to execute pricing and interchange strategies under a consistent global framework while driving revenue optimization, commercial simplification, enhanced customer experiences, and strategic transformation initiatives. As an AI Engineer, you will play a pivotal