Principal AI Engineer
Mastercard1 day ago
Vadodara, India or Gurgaon, IndiaStaff+
Responsibilities
- Lead the architecture, design, and implementation of scalable, reliable, and secure enterprise AI and agentic systems.
- Build and manage AI-ready data products, retrieval pipelines, vector data stores, and knowledge systems.
- Develop standardized agent engineering capabilities including orchestration, tool integration, memory management, and multi-agent workflows.
- Establish AI observability, evaluation, tracing, monitoring, performance measurement, and AgenticOps practices.
- Partner with Data Science, Data Engineering, and Product teams to deliver and operationalize AI solutions across the enterprise.
- Provide technical leadership, influence architecture decisions, mentor engineers, and drive engineering best practices.
- Translate emerging AI capabilities into enterprise-scale platforms, reusable services, and measurable business outcomes.
Requirements
- At least an undergraduate degree in computer science or a related STEM field.
- Deep expertise in Data Engineering, AI Engineering, or Machine Learning platforms, with a record of delivering production-grade AI solutions at scale.
- Strong understanding of retrieval-augmented generation, vector databases, agent frameworks, orchestration patterns, and LLM-powered applications.
- Experience designing and building scalable data pipelines, data products, APIs, and distributed systems for AI and analytics workloads.
- Demonstrated technical leadership, architecture influence, and engineering mentorship experience.
- Prior experience in payment fraud detection modeling.
- Preferred: PhD or master’s degree in computer science, data science, machine learning, AI, or a related STEM field.
- Preferred: Experience with data engineering and model building in PySpark using Spark ML on petabyte-scale data.
- Ability to evaluate work for bias, inaccuracy, and error and to work with messy, disparate, unstructured data.
Tech Stack
Categories
About Mastercard
Mastercard builds and operates a global payments network used by banks, merchants, fintechs, and governments, offering card processing, real-time payments, tokenization, and fraud/risk services. It generates revenue from transaction processing and assessment/service fees across more than 200 countries and territories. Founded in 1966 and headquartered in Purchase, New York, Mastercard is a public company listed on the NYSE (ticker: MA).