Senior AI Platform Engineer

Mastercard Inc.; Atlanta (GA); On-site; USD 115,000 - 184,000; Full time

Benefits offered by this job

Health insurance

401k with company match

Tuition reimbursement

Job summary

Mastercard Inc. seeks a Senior Software Engineer to design and build production-grade AI platform capabilities enabling AI-powered products and agentic experiences across B&MI.

You will design scalable services, secure integrations, and orchestration patterns, collaborating with AI Engineers and Data Scientists to deliver reliable, observable platforms. The role emphasizes operations, mentoring, and standards across teams.

Qualifications

• Experience building distributed, production-grade platforms, services, or software systems.
• Strong proficiency in object-oriented programming and backend development (e.g., Java, Kotlin, Python).
• Strong foundation in software design, data structures, and performance engineering.
• Experience designing APIs, platform services, event-driven integrations, and asynchronous workflows.

Responsibilities

• Design and build scalable, resilient AI platform services and reusable capabilities.
• Create secure integration patterns for models, agents, tools, and data sources.
• Implement orchestration and runtime patterns for multi-step AI execution.
• Build reusable frameworks for model/tool invocation, context management, and error handling.
• Own operations: logging, monitoring, incident response, and continuous improvement.
• Review code, mentor peers, and contribute engineering standards across teams.

Skills

Java

Kotlin

Python

Distributed systems

APIs

Education

Bachelor's degree in Computer Science, Engineering, or equivalent practical experience

Job description

Mastercard Inc. seeks a Senior Software Engineer to design and build production-grade AI platform capabilities enabling AI-powered products and agentic experiences across B&MI.

You will design scalable services, secure integrations, and orchestration patterns, collaborating with AI Engineers and Data Scientists to deliver reliable, observable platforms. The role emphasizes operations, mentoring, and standards across teams.