AI Engineering Manager

@ Mastercard

Mastercard's Purpose

Mastercard powers economies and empowers people in over 200 countries. It supports digital payments and delivers secure, smart, and accessible transactions.

Overview

The AI Engineering Manager at Mastercard leads the AI Center of Excellence team to build production-grade Agentic AI and traditional AI/ML solutions. You will manage architecture, experimentation, and secure deployment while working closely with various business and technical teams.

The Role

• Hire and develop high-performing AI engineering teams.
• Establish robust engineering rituals and maintain quality standards.
• Define technical strategy and reference architectures for AI solutions.
• Guide projects from proof-of-concept to secure production deployments.
• Drive the development of reusable AI services, SDKs, and tools.
• Implement evaluation frameworks ensuring quality, safety, and performance.
• Collaborate with cross-functional teams including Security, Risk, and Legal.
• Plan for multi-region high availability with disaster recovery and cost optimization.

Core Competencies

People Leadership, Delivery Excellence, Technical Judgment, Customer Obsession, Communication, and Adaptability.

All About You

You should have a strong background in software/AI engineering with extensive leadership experience and deep technical skills in AI/ML. Experience with Python, PyTorch/TensorFlow, microservices, and enterprise deployments in regulated environments is key.

Compensation and Benefits

Competitive base salary with bonus potential, comprehensive health plans, paid leaves, 401k matching, tuition reimbursement, and more benefits are offered.

Job Posting Details

Locations include San Francisco, Boston, New York City, Purchase, and Remote options. Salary ranges vary by location.

Key skills/competency

• AI
• Engineering
• Management
• Agentic
• ML
• CI/CD
• Microservices
• Security
• Deployment
• Cloud