# Software Engineer II - AI Platforms at Mastercard

Mastercard is hiring a Software Engineer II - AI Platforms in Atlanta, United States. Level rates it Builds AI ●●●●; you can [apply on Mastercard](https://jobsbylevel.com/go/d3ae18ee-e299-46e8-8ffe-95217fdd5e9d?utm_medium=ai-agent).

AI Level 4, AI centrality 87 out of 100. Atlanta, Georgia.

## Details

- Company: [Mastercard](https://jobsbylevel.com/companies/mastercard)
- AI level: AI Level 4 (score 87 out of 100)
- Location: Atlanta, Georgia
- Posted: November 4, 2026
- Apply: https://jobsbylevel.com/go/d3ae18ee-e299-46e8-8ffe-95217fdd5e9d?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=software-engineer-ii-ai-platforms-at-mastercard-24e6fd

## Prepare for this job

The job page lists 5 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/software-engineer-ii-ai-platforms-at-mastercard-24e6fd

## Description

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 Software Engineer II - AI Platforms Overview: Mastercard is seeking a Software Engineer II to design, build, and enhance production-grade AI platform capabilities that enable AI-powered products and agentic experiences across B&MI. You will contribute to reusable platform services, orchestration and runtime capabilities, and integration patterns that let AI models, agents, tools, enterprise data, and services run safely and observably in customer-facing products. You'll work with senior engineers, AI Engineers, Data Scientists, Product Managers, and platform teams. This role is ideal for a software engineer with a strong foundation in backend or distributed systems who wants to apply those skills to scalable, secure, production-ready AI platforms. Role: • Design, develop, test, and maintain AI platform services and reusable capabilities that support AI-powered products, intelligent workflows, and agentic systems. • Implement secure integration patterns for models, agents, tools, enterprise data, and services, with attention to authorization, auditability, and observability. • Contribute to orchestration and runtime capabilities, including routing, stateful workflows, and asynchronous processing for multi-step AI execution. • Build reusable components for model and tool invocation, context management, error handling, retries, and timeouts. • Apply established patterns for identity, permissions, policy enforcement, evaluation, and guardrails within AI execution paths. • Develop software that meets Mastercard standards for reliability, security, compliance, scalability, and performance. • Write and maintain unit, functional, and integration tests to validate component and system behavior. • Collaborate with AI Engineers and Data Scientists to integrate models, prompts, and evaluation approaches into larger production systems. • Support operations through logging, monitoring, tracing, troubleshooting, incident investigation, and continuous improvement. • Take part in code reviews and technical design discussions, document solutions, and share knowledge with peers. All About You: • Bachelor's degree in Computer Science, Engineering, or equivalent practical experience. • Professional experience building and supporting production-grade software systems, services, or platform capabilities. • Proficiency in object-oriented programming and backend development using Java, Kotlin, Python, or a similar language. • Solid foundation in software design, data structures, and the software development lifecycle. • Experience developing APIs, services, integrations, or asynchronous workflows. • Working knowledge of authentication, authorization, secure service-to-service communication, and API security. • Understanding of secure coding practices, reliability, observability, automated testing, and production support. • Ability to work in evolving problem spaces, learn emerging AI technologies, and deliver solutions iteratively, with guidance when needed. Preferred Skills: • Experience integrating LLMs, machine learning models, or AI services into software applications. • Familiarity with agent frameworks, workflow engines, orchestration platforms, retrieval patterns, or AI evaluation tools. • Exposure to audit-friendly, policy-driven platforms, guardrails, or responsible AI practices. Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/software-engineer-ii-ai-platforms-at-mastercard-24e6fd

Source: https://jobsbylevel.com/jobs/software-engineer-ii-ai-platforms-at-mastercard-24e6fd

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Level. https://jobsbylevel.com/jobs/software-engineer-ii-ai-platforms-at-mastercard-24e6fd.

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