Jobs / United States / Mastercard International Incorporated

Mastercard International Incorporated

Software Engineer II - AI Platforms

Atlanta, Georgia Posted today

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Skills this job asks for

ComplianceJavaKotlinPythonLLMsMachine learningAudit

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Sponsorship verdict

Sponsorship possible

One solid signal, not two. Worth applying, and worth asking about sponsorship early.

  • Employer is on a government sponsor recordThe US Department of Labor certified 76 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first.
  • The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
  • No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area.
  • What Mastercard International Incorporated paid sponsored hires in similar roles10 certified filings for “Senior Software Engineer” (Software Developers) in MO: $115k–$138k, median $127k.
  • Confirmed live todayWhen a source last listed this job as open.
Details and sources
Employer is on a government sponsor record
The US Department of Labor certified 76 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. Source: LCA disclosure data (US Department of Labor (OFLC)).
No salary bar for this route
H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
What Mastercard International Incorporated paid sponsored hires in similar roles
10 certified filings for “Senior Software Engineer” (Software Developers) in MO: $115k–$138k, median $127k. Most were filed at wage level II (50%) — 2 lottery entries, ≈31% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).

US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).

A verdict summarises public evidence. It is not legal advice and never a guarantee: the employer and the immigration authority decide. Sign in to factor in where you can already work.

About the role

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Software Engineer II - AI Platforms Overview: 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. You'll work with senior engineers, AI Engineers, Data Scientists, Product Managers, and platform teams. This role is ideal for a software engineer with a strong foundation in backend or distributed systems who wants to apply those skills to scalable, secure, production-ready AI platforms. Role: • 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. All About You: • 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, poli

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