Mastercard
Lead AI Platform Engineer
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. About the Role: Development: Lead and mentor a team of AI engineers in developing and deploying end-to-end AI solutions using low-code tools (e.g., Microsoft Copilot Studio, Power Platform) and pro-code platforms (e.g., Databricks, AWS, Azure, etc.)
Integration: Architect and enable AI solutions and data pipelines that integrate seamlessly with enterprise systems, ensuring scalability, security, and performance
Design: Drive technical discovery sessions and solution design workshops with stakeholders to capture requirements and translate business needs into technical solutions
Deployment: Enable and lead deployments of prototypes, proofs of concept, and production-grade AI models and applications
Optimization: Enhance the scalability and modularization of platform components to facilitate easy integration of new domains and models
Cloud Management: Manage cloud-based AI services and containerized environments, ensuring the reliability, security, and scalability of AI infrastructure
Collaboration: Work closely with AI Deployment and AI/ML Feature Engineers to ensure cohesive platform development
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 based on location, experience and other qualifications for the role and may be eligible for an annual bonus or commissions depending on the role. 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 new parent leave, up to 20 paid days bereavement leave), 10 annual paid sick days, 10 or more annual paid vacation days based on level, 5 personal days, 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, gender-inclusive benefits and many more.
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. About the Role: Development: Lead and mentor a team of AI engineers in developing and deploying end-to-end AI solutions using low-code tools (e.g., Microsoft Copilot Studio, Power Platform) and pro-code platforms (e.g., Databricks, AWS, Azure, etc.)
Integration: Architect and enable AI solutions and data pipelines that integrate seamlessly with enterprise systems, ensuring scalability, security, and performance
Design: Drive technical discovery sessions and solution design workshops with stakeholders to capture requirements and translate business needs into technical solutions
Deployment: Enable and lead deployments of prototypes, proofs of concept, and production-grade AI models and applications
Optimization: Enhance the scalability and modularization of platform components to facilitate easy integration of new domains and models
Cloud Management: Manage cloud-based AI services and containerized environments, ensuring the reliability, security, and scalability of AI infrastructure
Collaboration: Work closely with AI Deployment and AI/ML Feature Engineers to ensure cohesive platform development
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 based on location, experience and other qualifications for the role and may be eligible for an annual bonus or commissions depending on the role. 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 new parent leave, up to 20 paid days bereavement leave), 10 annual paid sick days, 10 or more annual paid vacation days based on level, 5 personal days, 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, gender-inclusive benefits and many more.