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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior AI Engineer - **Company:** Mastercard - **Location:** O'Fallon, MO, United States - **Experience:** Expert - **Salary:** $115,000.0 - $184,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, Data Analysis, Big Data, Cloud Database, Cyber Security, Continuous Integration, Linux, Distributed Computing Environment, Fraud Prevention and Detection, Apache Hadoop, Python (Programming Language), Machine Learning, SQL Databases, Feature Engineering, GitHub Copilot, Large Language Models, Generative AI, Containerization, Pyspark, Information Technology, Cybercrime, Machine Learning Operations, Virtual Agents, Software Version Control, Data Pipelines, Databricks - **Published:** August 16, 2026 - **Apply:** https://www.careerjet.com/job/usa95bf13875502d2c0d293e23651f0c23/eaa ## About the Role Master's degree with 2+ years of relevant experience, or Bachelor's degree with 5+ years of relevant experience, in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, or a related field; equivalent practical experience will also be considered. -Proficiency in Python, PySpark, SQL, and distributed data processing. -Hands-on experience with feature engineering, large-scale data processing, and analytics. -Hands-on experience with Databricks, Airflow, Hadoop, Linux/Unix, cloud-native technologies -Understanding of machine learning and deep learning techniques. -Understanding of model deployment, evaluation, monitoring, and optimization. -Knowledge of MLOps concepts including testing, automation, CI/CD, and version control. -Ability to communicate technical concepts and collaborate across teams. Preferred Qualifications -Fraud, cybersecurity, payments, or risk management domains. -Experience with Generative AI, LLMs, RAG, or agentic AI applications. -Familiar with AI-assisted development tools such as GitHub Copilot, or Claude Code. -Experience working with cloud-based data and AI environments. ## Description The Security Solutions Data Science team develops AI and machine learning capabilities that help protect the global payments ecosystem from fraud and cyber threats. Supporting Mastercard's Safety Net product, the team creates and enhances models that analyze billions of transactions and identify suspicious activity in real time. As a Senior AI Engineer, you will work at the intersection of AI engineering and big data engineering, helping improve the models, data assets, and operational processes that power fraud detection. You will collaborate closely with Data Scientists and Engineers to strengthen feature engineering, advance model monitoring capabilities, and deliver AI-driven solutions that improve performance and efficiency., As a Senior AI Engineer, you will: -Support machine learning models that help detect cyber-attacks, fraud and improve decision intelligence. -Create data pipelines and feature engineering workflows that enable model development and evaluation. -Process and analyze large-scale datasets to uncover insights and improve model inputs. -Strengthen monitoring, observability, and drift detection capabilities across production environments. -Apply automation and MLOps practices to improve reliability, efficiency, and scalability. -Develop AI-powered solutions that address engineering challenges and streamline operational processes. -Partner with Data Scientists, Engineers, and Product teams to bring new capabilities into production. -Contribute ideas that improve model performance, operational visibility, and team productivity., 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. ## Related Videos - [Detecting Money Laundering with AI](https://www.wearedevelopers.com/videos/111-detecting-money-laundering-with-ai) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Got AI ideas but no money? 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