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 Principal AI Platform Engineer - AI Center of Excellence Who is Mastercard? Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. Overview: The AI Center of Excellence is seeking a Principal AI Infrastructure Engineer to build and scale next-generation infrastructure supporting Mastercard's growing AI workloads. This role focuses on enabling high-performance, scalable platforms across compute, storage, networking, and accelerators. The ideal candidate is technically deep, highly motivated, and brings an innovative, builder mindset to power advanced AI capabilities across the organization. About the Role:• Lead AI infrastructure roadmap for Mastercard's on premise private cloud, spanning strategy, design, procurement, delivery, installation, and lifecycle management, in alignment with enterprise AI priorities and governance frameworks.• Act as a product owner for AI infrastructure, translating business and data science needs into scalable, future proof platform capabilities that support both predictive ML and generative/agentic AI workloads at enterprise scale.• Lead RFI and RFP processes for AI infrastructure components, including CPU, GPU, storage, and networking, defining technical and commercial evaluation criteria, reviewing vendor responses, and driving fact based selection decisions in partnership with sourcing and finance teams.• Architect and scale infrastructure capable of training large scale predictive and generative models on petabytes of data, while supporting low latency inference (real time and batch) with thousands of transactions per second (TPS) across global workloads.• Define and champion modern AI infrastructure standards, including high performance storage , high speed networking , and advanced data center requirements such as liquid cooling and power dense rack design.• Partner closely with data science, MLOps, and platform teams to ensure infrastructure choices align with model development, training, deployment, observability, and responsible AI requirements across the AI lifecycle.• Collaborate cross functionally with enterprise architecture, security, risk, governance, compliance, and legal teams to ensure solutions meet Mastercard's regulatory, resiliency, and ethical AI standards.• Influence senior leadership and executive stakeholders, clearly articulating trade offs, ROI, and risk, and confidently advocating for the right technical and architectural decisions through structured narratives and executive level presentations.• Stay ahead of industry trends in AI infrastructure, Generative AI, and Agentic AI, continuously assessing emerging technologies and vendors to inform long term strategy and investment decisions. All About You:• Bachelor's degree in Computer Science, Electronics, or a related engineering field is required.• Background:• Significant professional history of experience in large scale infrastructure, platform engineering, or systems architecture roles within a complex enterprise environment.• Proven experience owning infrastructure roadmaps and driving delivery in on premise or private cloud environments at scale.• AI & Data Foundation:• Good working knowledge of AI/ML concepts, data science workflows, MLOps practices, and model lifecycle management.• Familiarity with Generative AI and Agentic AI architectures, including their unique infrastructure, networking, and latency requirements.• Infrastructure Expertise:• Deep understanding of compute (CPU/GPU), high performance storage, and networking technologies used in modern AI platforms.• Hands on or architectural exposure to high density, high power AI infrastructure, including cooling, power, and data center design considerations.• Product & Vendor Mindset:• Strong product thinking-able to balance user needs, technical feasibility, cost, and long term platform evolution.• Demonstrated experience running RFIs/RFPs, evaluating vendor proposals, and partnering with sourcing and finance teams to make informed investment decisions.• Enterprise Leadership:• Comfortable navigating and influencing within a large, matrixed organization, working effectively with security, governance, architecture, and compliance stakeholders.• Executive ready communicator with the ability to present complex technical topics clearly, persuasively, and credibly to senior leaders.• Personal Attributes:• Strategic, opinionated, and data driven, with the confidence to challenge assumptions and defend well reasoned design decisions.• Curious, forward looking, and passionate about building the AI foundations that enable enterprise scale innovation. #AI1 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 reasonable_accommodation@mastercard.com 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: $195,000 - $323,000 USD Purchase, New York: $196,000 - $323,000 USD Remote - Virginia: $170,000 - $281,000 USD Washington, District of Columbia: $196,000 - $323,000 USD Job Posting Window Posting windows may change based on the volume of applications received and business necessity. Candidates are encouraged to apply expeditiously.

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 Principal AI Platform Engineer - AI Center of Excellence Who is Mastercard? Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. Overview: The AI Center of Excellence is seeking a Principal AI Infrastructure Engineer to build and scale next-generation infrastructure supporting Mastercard's growing AI workloads. This role focuses on enabling high-performance, scalable platforms across compute, storage, networking, and accelerators. The ideal candidate is technically deep, highly motivated, and brings an innovative, builder mindset to power advanced AI capabilities across the organization. About the Role:• Lead AI infrastructure roadmap for Mastercard's on premise private cloud, spanning strategy, design, procurement, delivery, installation, and lifecycle management, in alignment with enterprise AI priorities and governance frameworks.• Act as a product owner for AI infrastructure, translating business and data science needs into scalable, future proof platform capabilities that support both predictive ML and generative/agentic AI workloads at enterprise scale.• Lead RFI and RFP processes for AI infrastructure components, including CPU, GPU, storage, and networking, defining technical and commercial evaluation criteria, reviewing vendor responses, and driving fact based selection decisions in partnership with sourcing and finance teams.• Architect and scale infrastructure capable of training large scale predictive and generative models on petabytes of data, while supporting low latency inference (real time and batch) with thousands of transactions per second (TPS) across global workloads.• Define and champion modern AI infrastructure standards, including high performance storage , high speed networking , and advanced data center requirements such as liquid cooling and power dense rack design.• Partner closely with data science, MLOps, and platform teams to ensure infrastructure choices align with model development, training, deployment, observability, and responsible AI requirements across the AI lifecycle.• Collaborate cross functionally with enterprise architecture, security, risk, governance, compliance, and legal teams to ensure solutions meet Mastercard's regulatory, resiliency, and ethical AI standards.• Influence senior leadership and executive stakeholders, clearly articulating trade offs, ROI, and risk, and confidently advocating for the right technical and architectural decisions through structured narratives and executive level presentations.• Stay ahead of industry trends in AI infrastructure, Generative AI, and Agentic AI, continuously assessing emerging technologies and vendors to inform long term strategy and investment decisions. All About You:• Bachelor's degree in Computer Science, Electronics, or a related engineering field is required.• Background:• Significant professional history of experience in large scale infrastructure, platform engineering, or systems architecture roles within a complex enterprise environment.• Proven experience owning infrastructure roadmaps and driving delivery in on premise or private cloud environments at scale.• AI & Data Foundation:• Good working knowledge of AI/ML concepts, data science workflows, MLOps practices, and model lifecycle management.• Familiarity with Generative AI and Agentic AI architectures, including their unique infrastructure, networking, and latency requirements.• Infrastructure Expertise:• Deep understanding of compute (CPU/GPU), high performance storage, and networking technologies used in modern AI platforms.• Hands on or architectural exposure to high density, high power AI infrastructure, including cooling, power, and data center design considerations.• Product & Vendor Mindset:• Strong product thinking-able to balance user needs, technical feasibility, cost, and long term platform evolution.• Demonstrated experience running RFIs/RFPs, evaluating vendor proposals, and partnering with sourcing and finance teams to make informed investment decisions.• Enterprise Leadership:• Comfortable navigating and influencing within a large, matrixed organization, working effectively with security, governance, architecture, and compliance stakeholders.• Executive ready communicator with the ability to present complex technical topics clearly, persuasively, and credibly to senior leaders.• Personal Attributes:• Strategic, opinionated, and data driven, with the confidence to challenge assumptions and defend well reasoned design decisions.• Curious, forward looking, and passionate about building the AI foundations that enable enterprise scale innovation. #AI1 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 reasonable_accommodation@mastercard.com 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: $195,000 - $323,000 USD Purchase, New York: $196,000 - $323,000 USD Remote - Virginia: $170,000 - $281,000 USD Washington, District of Columbia: $196,000 - $323,000 USD Job Posting Window Posting windows may change based on the volume of applications received and business necessity. Candidates are encouraged to apply expeditiously.

• Develop, enhance, and maintain gateway or platform solutions • Collaborate with cross-functional teams • Ensure compliance with IRS MBI standards • Participate in the architectural design of API gateways.

Role Description We're in the builder era. Prompt-to-feature workflows are real, AI coding tools are the new norm, and the teams that win will be the ones who set up the right infrastructure to move fast with them. We're hiring an engineer to own the frontend platform at Roo. That includes our design system, shared UI architecture, developer tooling, AI-assisted workflows, and the technical foundation that helps every team member build polished, consistent product experiences. You're creating the workflows that unlock capacity for the whole team. You'll identify and build the highest-leverage improvements to our frontend platform, from design system tooling and AI integrations to shared infrastructure, developer experience, and platform modernization. Your customers are every builder at Roo—engineers, designers, and AI agents. Success in this role means making it dramatically easier for all of them to build great product experiences. This is a high-agency, find-it-fix-it-ship-it role. You'll identify the problems, scope the solutions, and build them, without needing a full squad behind you. The right person is already using AI tools to move faster than anyone around them and sees this as a chance to do that at platform scale. Responsibilities - Own the long-term technical direction of Roo's frontend platform, including the systems, tooling, and architecture that power development across web and mobile. - Partner with Product and Design to evolve our design system as a foundational platform rather than a standalone library. - Make our design system effortless to consume by engineers, designers, and AI agents through thoughtful integrations, documentation, tooling, and developer workflows. - Lead platform initiatives like framework upgrades, React Native modernization, Expo adoption, and shared library evolution. - Own the migration of legacy components to our v2 design system — including the tooling and documentation that let the rest of the team complete the migration themselves. - Establish patterns that let engineers ship new pages and flows quickly from a component library that's built for how people actually build in 2026. - Improve developer experience through shared tooling, automation, documentation, templates, and workflows that increase engineering velocity. - Identify and eliminate the friction points that slow builders down — missing tokens, undocumented patterns, inconsistencies that force one-off decisions — and fix them systematically. Qualifications - Significant experience building production software, including a focus on frontend systems. - Strong full-stack engineering fundamentals with deep expertise in React and TypeScript. - React Native or mobile experience. - Experience working closely with designers and modern design systems. - Hands-on experience with AI-assisted development: Cursor, Claude, or similar. - You've connected design systems to prototyping tools, AI coding environments, or engineering pipelines. - You operate well in an eng org — you understand how to get work prioritized. Nice to Have - Familiarity with Storybook, style-dictionary, or design token pipelines. - Experience with animation and interaction frameworks (Framer Motion, Rive, Lottie). This Role Probably Isn't for You If... - You want someone to hand you a scoped project. - You're not actively using AI tools in your workflow. - You need a lot of structure to ship. - You want to stay inside the system. Compensation Please see below for compensation ranges based on our geographical tiering system recommended by external benchmark data (with example cities listed). - Tier 1 Pay Range (examples: San Francisco, NYC): $170,000 - $210,000 USD - Tier 2 Pay Range (examples: LA, Boston, Seattle, DC, San Diego, Chicago): $155,000 - $190,000 USD - Tier 3 Pay Range (examples: Austin, Dallas, Portland, Denver, Philadelphia, Baltimore, Sacramento): $145,000 - $180,000 USD - Tier 4 Pay Range (examples: Minneapolis, Miami, Atlanta, Phoenix, Orlando, Las Vegas, Salt Lake City): $135,000 - $170,000 USD Core Values Our Core Values are what shape us as an organization and we're looking for people who exhibit the same values in their professional life: - Bias to Urgency - Drive Measurable Impact - Seek Understanding - Solve Customer Problems - Have Fun! Benefits - Accelerated growth & learning potential. - Stipends for home office setup, continuing education, and monthly wellness. - Comprehensive health benefits to fit your needs with base medical plan covered at 100% with optional premium buy up plans. - 401K. - Unlimited Paid Time Off. - Paid Maternity/Paternity and reproductive care leave. - Gifts on your birthday & anniversary. - Opportunity for domestic travel, including for regional team building events. Company Description Overall, you would be part of a mission-driven company that will significantly empower the lives of all veterinary professionals and the health of the overall animal industry that seeks massive innovation. We have diverse, passionate & driven team members from a variety of backgrounds, and Roo is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. We are committed to creating an inclusive environment for all employees and candidates. We understand that your individual experience may not check every box but we still encourage you to apply even if you are not confident in every expectation listed. Ready to join the Roo-volution?!