About the role
What will you do at Mastercard?
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 Platform Engineer Overview: Mastercard is seeking a Senior Platform Engineer within the Platform Operations team, part of the Technology organization, to support and evolve internal Generative AI (GenAI) platforms and productivity tools.
This role focuses on enabling secure, scalable, and governed adoption of GenAI capabilities across the enterprise. You will work closely with platform leads, vendor product groups, and third-party partners to deliver reliable GenAI services, connectors, and tools for internal users. We are looking for someone with a strong passion for Generative AI, data security, and data privacy, along with the ability to operate in a highly collaborative, fast-evolving technical environment.
This is a hybrid role based in Arlington, VA, requiring three days per week onsite. Role: • Support and enhance Mastercard's internal GenAI platforms, connectors, and tools. • Partner with GPT platform leads, vendor product teams, and external providers to deliver platform capabilities.
• Drive GenAI technology adoption across internal user groups. • Support change management efforts and internal communication initiatives related to GenAI tools. • Develop and document use cases for GenAI-enabled productivity solutions.
• Contribute to platform administration, governance, and operational support. • Ensure secure and compliant use of GenAI technologies across the enterprise. • Collaborate with cross-functional teams to improve user experience and platform reliability.
All About You: • Previous experience in platform engineering, cloud engineering, IT engineering, or enterprise systems support. • Strong understanding of Large Language Models (LLMs) and underlying GenAI technologies/tools. • Experience with enterprise GenAI tools such as ChatGPT Enterprise and Claude Enterprise, including administration and support functions.
• Experience with Microsoft 365 Admin Center. • Strong knowledge of Microsoft Entra ID, security groups, and PIM roles. • Experience with Microsoft Power Platform administration.
• Hands-on experience building workflows using Microsoft Power Automate. • Experience developing agents using Microsoft Copilot Studio and M365 Copilot Agent Builder. • Moderate expertise in data security and governance, particularly in the context of GenAI platforms.
• Ability to clearly document use cases and explain technical concepts in a simple, structured manner. • Excellent communication and stakeholder management skills, with the ability to influence both technical and non-technical audiences.
• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical field (or equivalent practical experience) Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role.
In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact [email protected] and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.
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.
In line with Mastercard’s total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience.
Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more.
Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations. Pay Ranges Arlington, Virginia: $110,000 - $187,000 USD Everyone wants easier ways to pay; we invent them. Checkout lines are slow; we speed them along.
Merchants want more sales; we give them data and insights. People need financial access; we connect them. Corporate purchasing is complicated; we make it simple.
Commuters are busy; we speed them on their way. Governments need greater efficiencies; we help create them. Small businesses are virtual; we give them access to a world of buyers.
Retailers want to fight fraud; we provide the tools.
Which skills does this role require?
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