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

Lead AI Platform Engineer:

Overview:

We're looking for a self-motivated and enthusiastic Lead AI Platform Engineer to be on the forefront of driving the development and deployment of enterprise-grade AI solutions using both low-code and pro-code platforms. This role will lead a high-impact team focused on translating business needs into intelligent, scalable systems that integrate seamlessly with enterprise infrastructure. The ideal candidate brings deep technical expertise, a collaborative mindset, and a passion for innovation-guiding solution design workshops, aligning AI capabilities with strategic goals, and delivering measurable value across the organization.

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 about You:

• Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Significant hands-on experience in developing and deploying AI solutions with low-code or pro-code tooling in production environments

Technical Skills:

• Proficiency in low-code (e.g., MSFT Power Platform, Copilot Studio, etc.) and pro-code (e.g., AWS, Databricks, etc.) tools and practices tailored for AI/ML systems.
• Experience with containerization technologies such as Docker and Kubernetes.
• Strong understanding of cloud platforms (AWS, Azure) and their AI/ML services.
• Knowledge of monitoring and alerting tools specific to ML performance.
• Familiarity with data validation, drift detection, and automated testing frameworks

Preferred Qualifications:

• Experience using RPA and developing AI solutions
• Hands-on experience with AI/ML feature engineering and data pipeline optimization.
• Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment
  Core Competencies:
• Technical Expertise: Deep understanding of AI/ML deployment processes and best practices.
• Collaboration: Ability to work effectively with cross-functional teams, including data scientists, engineers, and platform teams.
• Communication: Excellent verbal and written communication skills to articulate technical concepts to non-technical stakeholders.
• Adaptability: Ability to adapt to changing technologies and learn new skills quickly.
• Problem-Solving: Strong analytical and problem-solving skills to address complex deployment challenges
  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.

Pay Ranges

O'Fallon, Missouri: $138,000 - $221,000 USD
Atlanta, Georgia: $138,000 - $221,000 USD
Austin, Texas: $138,000 - $221,000 USD