AI Software Engineer

@ Mastercard

Our Purpose

Mastercard powers economies and empowers people in over 200 countries and territories. Together with customers, Mastercard helps build a sustainable economy where everyone can prosper by supporting secure, simple, smart and accessible digital payments.

Title and Summary

AI Software Engineer

Overview

Mastercard’s AI Center of Excellence (AI COE) is seeking an AI Engineer to lead a team in building production-grade Agentic AI and traditional AI/ML solutions across the business. This role is ideal for an early career engineer eager to learn fast, ship meaningful features, and grow under the mentorship of senior engineers within a regulated environment.

The Role

• Contribute to prototype efforts and deliver production-ready features.
• Build core components for Agentic AI systems such as RAG, embeddings, vector search, and tool/function calling.
• Enhance evaluation frameworks and monitor key metrics like quality, latency, cost, and safety.
• Collaborate on data ingestion, contracts, and catalog usage while ensuring regulatory compliance.
• Implement observability tools, security guardrails, and responsible AI practices.
• Work cross-functionally with product, design, and platform teams.

All About You

Candidates should have a BS/MS in Computer Science, Data Science, or equivalent experience, with proficiency in Python, REST, SQL, Git, Docker, and CI/CD workflows. Familiarity with LLMs, prompting, embeddings, RAG, and ML tools like PyTorch/TensorFlow, along with exposure to major cloud platforms, is required. A strong code quality mindset, effective communication skills, and hands-on experience building ML features or GenAI applications are essential.

Key skills/competency

• Agentic AI
• Machine Learning
• Python
• CI/CD
• Cloud Platforms
• Data Ingestion
• Security
• Responsible AI
• Observability
• Collaboration