Senior Software Engineer

Senior Software Engineer (AI)

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

Senior Software Engineer (AI)Overview

• Marketing Technology Solutions (MarTS) group is building cutting edge technology solutions for Marketing teams, building sites and apps across multiple channels like web, mobile, IoT etc. Mastercard is looking for strong technical professional to be part of this exciting journey.
• This position is responsible for providing senior application development and design support within MarTS group. Specifically, this person will provide exceptional application development to all marketing projects.
• This is a career opportunity to be a senior software engineer for providing global marketing solutions for one of the most well-known brands in the world. Passion, rigour, and drive are required.
• Provide high quality deliverables within the constraints of budget, scope and time.
• Design & develop high quality, secure software solutions as per technical requirements and design artifacts.

Role

• Design and implement generative AI models and applications for marketing and personalization use cases.
• Build advanced solutions leveraging Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), tool calling, and LangChain/LangGraph for dynamic workflows.
• Develop and optimize machine learning pipelines for fine-tuning large language models (LLMs) and other foundation models.
• Implement content generation systems for text, image, and multimodal outputs.
• Apply computer vision techniques for image analysis, creative generation, and visual search.
• Implement evaluation frameworks for GenAI applications, including hallucination detection, bias checks, and quality scoring.
• Build observability and monitoring solutions for AI systems, including latency, cost tracking, and model performance metrics.
• Build scalable solutions on cloud platforms (AWS, Azure) and leverage data platforms like Databricks.
• Integrate AI models into production systems with a focus on performance, security, and compliance.
• Stay current with the latest advancements in AI/ML research, particularly in generative AI, and apply them to real-world problems.
• Promote engineering best practices and contribute to a culture of innovation and collaboration.

All About You

• Strong hands-on experience in building and deploying generative AI solutions (e.g., LLMs, diffusion models, transformers).
• Expertise in RAG pipelines, MCP-based integrations, tool calling frameworks, and LangChain/LangGraph.
• Proficiency in Python and popular AI/ML frameworks such as PyTorch or TensorFlow.
• Experience with content generation systems (text, image, multimodal) and computer vision models.
• Experience with evaluation techniques for GenAI (e.g., hallucination detection, factuality scoring, bias evaluation).
• Knowledge of observability tools for AI systems (e.g., monitoring latency, cost, and performance metrics).
• Experience with MLOps practices, including model versioning, CI/CD for ML, and monitoring in production.
• Experience with cloud platforms (AWS, Azure) and data engineering tools like Databricks.
• Solid understanding of prompt engineering, fine-tuning, and model evaluation techniques.
• Knowledge of API development and integration of AI models into web or mobile applications.
• Strong problem-solving skills and ability to work in a fast-paced, high-impact environment.
• Excellent communication and collaboration skills to work effectively with technical and non-technical stakeholders.

Education:

• Bachelor or Master's Degree in Computer Science or equivalent

Corporate Security Responsibility

All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:

• 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.

Experience Level

Senior Level