Senior AI Engineer, Big Data & AI Solutions
Mastercard
Quick summary
Market check
How this pay compares to similar roles
This role pays less than 85% of similar roles. Most pay $162,000–$246,150 — the shaded band above. At the midpoint, this role pays about $150k versus about $204k for comparable roles.
Based on 240 similar postings.
Employer
Mastercard is a global technology company in the payments industry, processing transactions between financial institutions and merchants using its extensive network of credit, debit, and prepaid card products. Industry: Payments Technology & Financial Services
Mastercard currently has 116 open roles on FindRole.
Listed pay typically runs $122,000–$207,000 across 104 roles with salary data.
Most-posted roles
At a glance
Senior AI Engineer, Big Data & AI Solutions joins the Security Solutions Data Science team to develop machine learning capabilities that protect the global payments ecosystem from fraud and cyber threats. Working at the intersection of AI and big data engineering, you will build data pipelines, create feature engineering workflows, and strengthen monitoring, observability, and drift detection for models analyzing billions of transactions in real time. You will apply MLOps practices to improve reliability while developing AI-powered solutions to streamline operational processes. The role requires proficiency in Python, PySpark, SQL, and distributed data processing, alongside experience with Databricks, Airflow, Hadoop, Linux/Unix, and cloud-native technologies. Candidates should possess knowledge of deep learning, CI/CD, and version control. Preferred expertise includes fraud, cybersecurity, payments, and generative AI applications like LLMs or RAG to solve complex security challenges.
What does a AI Engineer earn?
Median $211200 from 132 postings across 36 companies.
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What you'll do
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