Senior Platform Engineer

About the role

This role supports and enhances Mastercard's internal GenAI platforms, connectors, and tools. It involves partnering with GPT platform leads, vendor product teams, and external providers to deliver reliable GenAI services, connectors, and tools for internal users. The focus is on enabling secure, scalable, and governed adoption of GenAI capabilities across the enterprise.

Responsibilities

• 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.

Requirements

• 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.
• Moderate expertise in data security and governance, particularly in the context of GenAI platforms.
• Hands-on experience building workflows using Microsoft Power Automate.
• Experience developing agents using Microsoft Copilot Studio and M365 Copilot Agent Builder.
• Excellent communication and stakeholder management skills, with the ability to influence both technical and non-technical audiences.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical field (or equivalent practical experience).

Skills

• 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.
• Hands-on experience building workflows using Microsoft Power Automate.
• Experience developing agents using Microsoft Copilot Studio and M365 Copilot Agent Builder.
• Excellent communication and stakeholder management skills, with the ability to influence both technical and non-technical audiences.

Benefits

• 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.
• Many more.

Pay

The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Pay ranges for the role in Arlington, Virginia are $110,000 - $187,000 USD.

Schedule

This is a hybrid role based in Arlington, VA, requiring three days per week onsite.