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Mastercard

Processes payments across a global network

Software Engineer 2 - AI Platforms

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeAtlanta, GA, USAIn-person

About the Job

Requirements

  • A 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.
  • A 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.
  • Responsibility for following security policies and practices, protecting the confidentiality and integrity of accessed information, reporting suspected security violations or breaches, and completing mandatory security training.

Responsibilities

  • 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 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.

Desired Qualifications

  • Experience integrating large language models, 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.

About the Company

Mastercard

Processes payments across a global network

Mastercard operates a global payment network connecting financial institutions, merchants, businesses and consumers. It authorizes, clears and settles transactions between participating institutions, while banks issue Mastercard-branded cards and extend credit to their customers. Its services also include fraud detection, identity verification, payment tokenization, data analysis and consulting for organizations managing commerce and financial operations. The company earns network fees linked to payment volumes and processed transactions, along with fees for its services and solutions. Founded by a group of banks in 1966, Mastercard is headquartered in Purchase, within Harrison, New York.

Company size
10,001+
Company stage
IPO
Headquarters
Town of Harrison, New York
Founded
1966

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