Senior Software Engineer - AI Platforms
In short. Senior Software Engineer - AI Platforms at Mastercard: a full-time senior role, on-site in Atlanta, GA. Posted salary: $115K – $184K. Skills mentioned: Python, Machine learning, LLMs, AI agents. Posted Nov 4, 2026, checked on the employer's site 58 min ago.
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Opens Mastercard's own application page. No sign-up on Sudo Get Job.
Summary
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.
Quoted from Mastercard's description, not rewritten.
Skills mentioned
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
Senior Software Engineer - AI PlatformsOverview: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. You'll partner closely with AI Engineers, Data Scientists, Product Managers, and platform teams, and own system-level concerns such as identity, authorization, attribution, reliability, evaluation, guardrails, and operational controls. This role is ideal for engineers who excel in distributed systems and want to apply those fundamentals to scalable, secure, production-ready AI platforms.
Role:
• 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 About You:
• 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.Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact [email protected] and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.
Corporate Security Responsibility
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.
In line with Mastercard’s total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: 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, pro-rated based on date of hire; 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; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations.

THIS POSTING RELECTS ONE OR MORE CURRENT VACANCIES ON OUR TEAM, AND MASTERCARD INTENDS TO FILL THIS POSITION BY 02/02/2027. If the fill date has passed, Mastercard intends to fill this position as soon as possible.


Pay Ranges
Atlanta, Georgia: $115,000 - $184,000 USDOpens Mastercard's own application page. No sign-up on Sudo Get Job.
