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Software Engineer II - AI Platforms
Mastercard
Sponsorship not confirmed
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About the job
Mastercard · Atlanta, Georgia · $92,000 - $147,000 USD 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. 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 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. Requirements: 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. Benefits: Insurance (including medical, prescription drug, dental, vision, disability, life insurance) Flexible spending account and health savings account Paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave) 80 hours of Paid Sick and Safe Time 25 days of vacation time and 5 personal days 401k with a best-in-class company match Deferred compensation for eligible roles Fitness reimbursement or on-site fitness facilities Eligibility for tuition reimbursement
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