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# Senior Software Engineer - AI Platforms

- **Company:** Mastercard
- **Location:** Atlanta, GA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** AI Evaluation, Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Code Review, Cyber Security, Data Structures, Python (Programming Language), Machine Learning, Object-Oriented Software Development, Software Architecture, Secure Coding, Software Systems, Systems Integration, Data Logging, Large Language Models, Backend, Agentic-AI, Kotlin, Build Management, AI Platforms, Integration Tests, Kubernetes, Information Technology
- **Published:** November 5, 2026
- **Apply:** https://mastercard.wd1.myworkdayjobs.com/CorporateCareers/job/Atlanta-Georgia/Senior-Software-Engineer---AI-Platforms_R-294617

## About the Role

* Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
 * Proven experience building distributed, production-grade platforms, services, or software systems.
 * Strong proficiency in object-oriented programming and backend development (e.g., Java, Kotlin, Python, or similar).
 * Strong foundation in software design and architecture, data structures, and performance engineering.
 * Experience designing APIs, platform services, event-driven integrations, and asynchronous workflows.
 * Deep understanding of authentication, authorization, secure service-to-service communication, secure coding practices, and policy enforcement.
 * Experience operating systems with high reliability, availability, observability, security, and regulatory requirements.
 * Ability to work in ambiguous problem spaces, evaluate emerging AI technologies, and evolve platform capabilities iteratively.

Preferred Skills:

 * Experience integrating LLMs, machine learning models, or AI services into production software systems.
 * Familiarity with agent frameworks, model gateways, workflow engines, orchestration platforms, retrieval patterns, or AI evaluation tooling.
 * Experience designing reusable, audit-friendly, policy-driven platforms with guardrails and responsible AI controls.

## Description

* Design and build scalable, resilient AI platform services and reusable capabilities that support AI-powered products, intelligent workflows, and agentic systems.
 * Create secure integration patterns for models, agents, tools, enterprise data, and services so that actions are attributable, authorized, auditable, and observable.
 * Implement orchestration and runtime patterns, including routers, supervisors, planners, stateful workflows, and asynchronous processing for multi-step AI execution.
 * Build reusable frameworks for model and tool invocation, context management, error handling, retries, timeouts, and compensating actions.
 * Integrate identity, permissions, policy enforcement, evaluation, and guardrails directly into AI execution paths.
 * Ensure platform capabilities meet Mastercard standards for reliability, security, compliance, scalability, and performance, including performance analysis and tuning.
 * Drive unit, functional, and integration testing to validate platform behavior and quality.
 * Collaborate with AI Engineers and Data Scientists to integrate models, prompts, and evaluation approaches into larger production systems.
 * Own operations, including logging, monitoring, tracing, evaluation telemetry, troubleshooting, incident response, and continuous improvement.
 * Review code, mentor peers, influence architectural decisions, and contribute reusable engineering standards across teams., All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
 * Abide by Mastercard's security policies and practices;
 * Ensure the confidentiality and integrity of the information being accessed;
 * Report any suspected information security violation or breach, and
 * Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.