Software Engineer II - AI Platforms

Mastercard•Atlanta, GA

22h•$92,000 - $147,000

About The Position

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. The role contributes reusable platform services, orchestration and runtime capabilities, and integration patterns that allow AI models, agents, tools, enterprise data, and services to operate safely and observably in customer-facing products. The engineer works with senior engineers, AI Engineers, Data Scientists, Product Managers, and platform teams. It is intended for a software engineer with a foundation in backend or distributed systems who wants to apply those skills to scalable, secure, production-ready AI platforms. The position includes developing platform services and reusable capabilities; integrating models, agents, tools, enterprise data, and services securely; and contributing to orchestration, runtime, and asynchronous workflow capabilities. The engineer builds components for model and tool invocation, context management, and execution resilience, and applies patterns for identity, permissions, policy enforcement, evaluation, and guardrails. The work must meet Mastercard standards for reliability, security, compliance, scalability, and performance. The role also involves testing, collaborating on AI integrations, supporting production operations, participating in code reviews and design discussions, documenting solutions, and sharing knowledge. Mastercard describes itself as a merit-based, inclusive, equal opportunity employer. Employees are expected to follow security policies, protect information confidentiality and integrity, report suspected security violations or breaches, and complete mandatory security training. The position is intended to be filled by 02/02/2027, or as soon as possible if that date has passed.

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.

Nice To Haves

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.

Responsibilities

Design, develop, test, and maintain AI platform services and reusable capabilities for 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 production systems.
Support operations through logging, monitoring, tracing, troubleshooting, incident investigation, and continuous improvement.
Participate in code reviews and technical design discussions, document solutions, and share knowledge with peers.
Abide by Mastercard security policies and practices, protect information confidentiality and integrity, report suspected security violations or breaches, and complete mandatory security training.

Benefits

Insurance, including medical, prescription drug, dental, vision, disability, and 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, prorated based on date of hire.
10 annual paid U.S. observed holidays.
401(k) with a company match.
Deferred compensation for eligible roles.
Fitness reimbursement or on-site fitness facilities.
Eligibility for tuition reimbursement.