AI Platform Engineer II

Mastercard Colombia, Inc.; Atlanta (GA); On-site; USD 92,000 - 147,000; Full time

Benefits offered by this job

Health insurance

401k match

Paid time off

Job summary

Mastercard is seeking a Software Engineer II to design and build production-grade AI platform capabilities that power AI-powered products and agentic experiences across B&MI.

You will contribute to reusable platform services, orchestration and runtime patterns, and integration patterns that let AI models, agents, tools, enterprise data, and services run safely and observably in customer-facing products.

Qualifications

• Bachelor's degree in CS, Engineering, or equivalent.
• Professional experience building production-grade software systems.
• Proficiency in object-oriented programming and backend development with Java, Kotlin, Python.
• Strong software design, data structures, and SDLC knowledge.
• Experience developing APIs, services, integrations, or asynchronous workflows.
• Knowledge of authentication, authorization, secure service communication, and API security.
• Ability to learn emerging AI technologies and contribute iteratively.

Responsibilities

• Design, develop, test, and maintain AI platform services.
• Implement secure integration patterns for models, agents, tools, data.
• Contribute to orchestration and runtime capabilities.
• Build reusable components for model/tool invocation and context management.
• Apply identity, permissions, guardrails within AI paths.
• Collaborate with AI Engineers and Data Scientists to integrate models and prompts.

Skills

Java

Kotlin

Python

Backend development

APIs / services

Security / IAM

Education

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

Tools

REST APIs

Security best practices

Observability

Job description

Mastercard is seeking a Software Engineer II to design and build production-grade AI platform capabilities that power AI-powered products and agentic experiences across B&MI.

You will contribute to reusable platform services, orchestration and runtime patterns, and integration patterns that let AI models, agents, tools, enterprise data, and services run safely and observably in customer-facing products.