Confirmed on the employer's own hiring board on Oct 10, 2026. First seen by Alion on Aug 29, 2026. Mastercard scores B on the Alion truth index.
Join Mastercard's AI Center of Excellence as a Lead AI Platform Engineer. In this role, you will lead the design, development, and evolution of the enterprise AI platform, manage a team of AI Engineers, and partner with various teams to deliver a secure and scalable AI ecosystem. You will also establish enterprise standards for MLOps and LLMOps, design cloud-native AI infrastructure, and drive platform reliability.
Missions
- Lead the design, development, and evolution of the enterprise AI platform, ensuring it supports the full AI lifecycle from experimentation through production.
- Manage and mentor a team of AI Engineers, providing technical guidance, coaching, performance feedback, and career development.
- Define the technical roadmap for AI platform capabilities, ensuring alignment with business priorities and enterprise technology strategy.
Profil recherché
- Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field- Experience leading and mentoring engineering teams in an enterprise environment
- Experience implementing security, governance, and compliance controls within enterprise technology platforms
- Strong understanding of platform engineering principles, DevOps, CI/CD, observability, reliability engineering, and automation
- Strong software engineering skills using Python
- Extensive experience designing and operating enterprise software platforms, cloud-native applications, or AI/ML platforms
- Experience building and operating AI/ML platforms, MLOps, or AgenticOps capabilities supporting production AI workloads
- Experience with modern AI technologies including LLMs, RAG, vector databases, model serving frameworks, and AI orchestration platforms
- Excellent communication, stakeholder management, and leadership skills
- Deep expertise with Kubernetes, Docker, APIs, microservices, Infrastructure as Code, and cloud platforms including AWS, Azure, or Google Cloud Platform

