Support and scale Mastercard's Generative AI and Copilot platforms by building integrations, MCP servers, automation, and reusable components; troubleshoot and support developers; create documentation, training, and enablement materials; and promote secure, reliable platform adoption.
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
Platform Engineer II
Platform Engineer II, Generative AI & Copilot Platforms
Overview
The Enterprise Operations team is seeking a Platform Engineer II to help scale and support Mastercard's Generative AI and Copilot platform capabilities. This role will contribute to the engineering, support, governance, and adoption of Microsoft Copilot, Copilot Studio, and related AI platform services.
The successful candidate will combine technical engineering skills with a customer-focused mindset to support internal developers, maintain platform documentation, develop reusable solutions, and help drive enterprise AI adoption.
Key Responsibilities
AI Platform Engineering• Build, test, and maintain solutions that support enterprise AI and Copilot initiatives.• Contribute to platform integrations, automation, and reusable engineering components.• Assist in the development of MCP (Model Context Protocol) servers, connectors, and proof-of-concept solutions.• Follow engineering best practices for security, reliability, testing, and operational readiness. 12
Copilot Studio Support & Operations• Support internal developers building solutions with Copilot Studio and related Microsoft technologies.• Troubleshoot platform issues and assist users with technical questions and implementation guidance.• Partner with engineering and product teams to improve the developer experience and platform reliability. 13
Knowledge Management• Create and maintain technical documentation, implementation guides, troubleshooting resources, and support content.• Ensure platform knowledge repositories remain accurate, current, and easy to consume.• Identify opportunities to improve self-service support and reduce repetitive support requests. 1
Developer Enablement• Deliver training sessions, demonstrations, and technical enablement content.• Create learning materials and reference assets that help developers successfully adopt platform capabilities.• Support internal communities of practice and developer engagement activities. 13
Qualifications
Required• Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent practical experience.• 2-5 years of experience in platform engineering, software engineering, automation, or related technical roles.• Experience with cloud platforms, APIs, automation, or application integrations.• Experience troubleshooting technical issues and supporting users or development teams.• Strong written and verbal communication skills.• Ability to learn new technologies quickly and work effectively in a collaborative environment.
Preferred• Experience with Microsoft Power Platform and Copilot Studio.• Experience with Microsoft 365 Copilot, Azure AI, or Generative AI technologies.• Experience developing integrations, connectors, or automation solutions.• Familiarity with DevOps practices, CI/CD pipelines, and automated testing.• Experience creating technical documentation, training content, or developer enablement resources. 12
Success Measures
Successful candidates will:• Improve the experience of developers building on AI and Copilot platforms.• Contribute reusable engineering solutions that accelerate platform adoption.• Maintain high-quality documentation and support resources.• Help scale AI capabilities through training, automation, and self-service experiences.• Support secure and reliable operation of enterprise AI platforms.
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:
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
Platform Engineer II
Platform Engineer II, Generative AI & Copilot Platforms
Overview
The Enterprise Operations team is seeking a Platform Engineer II to help scale and support Mastercard's Generative AI and Copilot platform capabilities. This role will contribute to the engineering, support, governance, and adoption of Microsoft Copilot, Copilot Studio, and related AI platform services.
The successful candidate will combine technical engineering skills with a customer-focused mindset to support internal developers, maintain platform documentation, develop reusable solutions, and help drive enterprise AI adoption.
Key Responsibilities
AI Platform Engineering• Build, test, and maintain solutions that support enterprise AI and Copilot initiatives.• Contribute to platform integrations, automation, and reusable engineering components.• Assist in the development of MCP (Model Context Protocol) servers, connectors, and proof-of-concept solutions.• Follow engineering best practices for security, reliability, testing, and operational readiness. 12
Copilot Studio Support & Operations• Support internal developers building solutions with Copilot Studio and related Microsoft technologies.• Troubleshoot platform issues and assist users with technical questions and implementation guidance.• Partner with engineering and product teams to improve the developer experience and platform reliability. 13
Knowledge Management• Create and maintain technical documentation, implementation guides, troubleshooting resources, and support content.• Ensure platform knowledge repositories remain accurate, current, and easy to consume.• Identify opportunities to improve self-service support and reduce repetitive support requests. 1
Developer Enablement• Deliver training sessions, demonstrations, and technical enablement content.• Create learning materials and reference assets that help developers successfully adopt platform capabilities.• Support internal communities of practice and developer engagement activities. 13
Qualifications
Required• Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent practical experience.• 2-5 years of experience in platform engineering, software engineering, automation, or related technical roles.• Experience with cloud platforms, APIs, automation, or application integrations.• Experience troubleshooting technical issues and supporting users or development teams.• Strong written and verbal communication skills.• Ability to learn new technologies quickly and work effectively in a collaborative environment.
Preferred• Experience with Microsoft Power Platform and Copilot Studio.• Experience with Microsoft 365 Copilot, Azure AI, or Generative AI technologies.• Experience developing integrations, connectors, or automation solutions.• Familiarity with DevOps practices, CI/CD pipelines, and automated testing.• Experience creating technical documentation, training content, or developer enablement resources. 12
Success Measures
Successful candidates will:• Improve the experience of developers building on AI and Copilot platforms.• Contribute reusable engineering solutions that accelerate platform adoption.• Maintain high-quality documentation and support resources.• Help scale AI capabilities through training, automation, and self-service experiences.• Support secure and reliable operation of enterprise AI platforms.
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.
Mastercard London, England Office
1 Angel Lane, London, United Kingdom, EC4R 3AB
Similar Jobs at Mastercard
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Leads sales enablement and go-to-market strategy for Mastercard’s Enterprise and Credit Risk solutions. Partners with product, sales, marketing, account management, and regional leadership teams to develop positioning, playbooks, training, customer narratives, and competitive materials. Engages strategic customers and executives, supports qualification, pricing, business cases, and deal strategy, and drives cross-sell, upsell, pipeline growth, and product feedback across global markets.
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Leads sales enablement and go-to-market execution for Mastercard’s Enterprise and Credit Risk solutions. Develops segment growth strategies, sales playbooks, value propositions, competitive positioning, and training programs; partners with global sales, product, marketing, legal, and account teams; engages strategic enterprise customers and executives; supports opportunity qualification, pricing, deal strategy, cross-sell, and upsell initiatives; and monitors pipeline, revenue, and sales effectiveness metrics.
Top Skills:
Credit Risk AnalyticsData ProductsFraud DecisioningPayments
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Lead and develop a software engineering team building and operating mission-critical, cloud-native authentication and decisioning systems. Drive roadmap delivery, platform modernization, operational excellence, CI/CD, observability, and collaboration across Product, Security, SRE and Architecture while supporting hiring and professional development.
Top Skills:
Ai/Ml DecisioningAutomated TestingCi/CdCloud-NativeMicroservicesObservabilityReal-Time Transaction ProcessingRules EnginesSecure Software DevelopmentService-Oriented Architecture
What you need to know about the London Tech Scene
London isn't just a hub for established businesses; it's also a nursery for innovation. Boasting one of the most recognized fintech ecosystems in Europe, attracting billions in investments each year, London's success has made it a go-to destination for startups looking to make their mark. Top U.K. companies like Hoptin, Moneybox and Marshmallow have already made the city their base — yet fintech is just the beginning. From healthtech to renewable energy to cybersecurity and beyond, the city's startups are breaking new ground across a range of industries.
