Senior Software Engineer - AI Platforms

Mastercard is seeking a Senior Software Engineer to design and build production-grade AI platform capabilities that enable AI-powered products and agentic experiences across B&MI.

You will build 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 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.

Requirements:

• 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.

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
• 10 annual paid U.S. observed holidays
• 401k with a best-in-class company match
• Deferred compensation for eligible roles
• Fitness reimbursement or on-site fitness facilities
• Eligibility for tuition reimbursement