Job Title:

Lead AI Engineer

Overview:

Overview



As a Lead AI Engineer at Mastercard, you will be instrumental in designing, building, and scaling AI microservices that transform PoC notebooks into robust, production-ready components. You will play a pivotal role in creating the foundational AI services that power our next-generation solutions, ensuring they are scalable, efficient, and seamlessly integrated into the broader Mastercard ecosystem



Key Responsibilities



Lead the E2E design and development of AI-powered microservices, focusing on modularity, scalability, and reusability, to support various business units and applications

Drive the transition of AI models from notebook-based PoCs and experimental phases into hardened, production-grade components and services, ensuring performance, reliability, and maintainability

Design and implement robust APIs for AI microservices, facilitating seamless integration with existing Mastercard platforms and external systems.

Identify and address performance bottlenecks within AI microservices and their underlying infrastructure, optimizing for latency, throughput, and cost-efficiency.

Work closely with data scientists, MLOps engineers, and product teams to translate business requirements into technical specifications for AI services. Mentor junior engineers on best practices for AI software development and scaling

Implement rigorous testing strategies, including unit, integration, and performance testing, to ensure the quality, accuracy, and stability of deployed AI microservices

Research and evaluate new technologies, frameworks, and methodologies related to AI software development, microservices, and large-scale data processing to continuously improve our capabilities

Ensure all AI microservices adhere to Mastercard's security standards, compliance policies, and ethical AI principles



Qualifications



Education: Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field. Master's degree preferred

Experience: Minimum of 8+ years of experience in software development, with at least 4 years specifically focused on building and deploying AI/ML-powered applications or microservices in production environments

Technical Skills:

Strong proficiency in Python

Extensive experience in designing, developing, and deploying RESTful APIs and microservices

Proven experience in scaling machine learning models from prototype to production, including familiarity with feature stores, model registries, and inference patterns

Solid understanding of the AI/ML lifecycle, from data preparation and model training to deployment and monitoring

Experience with cloud platforms and their relevant compute, storage, and AI/ML services

Proficiency with containerization technologies

Familiarity with CI/CD pipelines for automated testing and deployment of software and AI models

Experience with distributed computing frameworks (e.g., Spark, Dask) is a plus

Understanding of data governance, data quality, and data security principles relevant to AI/ML applications

Excellent communication, interpersonal, and stakeholder management skills, with the ability to effectively articulate complex technical concepts to both technical and non-technical audiences

Proven ability to lead technical initiatives, drive cross-functional projects, and influence outcomes within a fast-paced environment

#AITo find US Salary Ranges, visit People Place. Under the Compensation tab, select "Salary Structures." Within the text of "Salary Structures," click on the link "salary structures 2025," through which you will be able to access the salary ranges for each Mastercard job family. For more information regarding US benefits, visit People Place and review the Benefits tab and the Time Off & Leave tab.