Summary written by USA Jobs 24 from Mastercard's advert and our data on 17,035 current US jobs. How we check every job
At a glance
Mastercard is hiring a Senior Software Engineer - AI Platforms in Atlanta, GA. It is a full-time role in Data, AI & Analytics, first listed on November 5. The advertised pay is $115,000–$184,000 a year. The description mentions Java, Kotlin, Python, Generative AI, Machine learning and Cybersecurity. Mastercard has 99 other openings in the US, 10 of them in Atlanta, GA. Across all employers on USA Jobs 24 there are 79 Data & AI openings in Atlanta, GA today; the typical one asks for 7 years and advertises about $194,000 a year at the midpoint.
How the pay compares
Mastercard advertises $115,000 to $184,000 a year, a midpoint of $149,500 a year. Where an offer lands in a range usually depends on experience and on the exact location. That is lower than about 63% of the 54 data & AI jobs in Georgia that publish a yearly rate on USA Jobs 24, where the typical midpoint is $180,000 a year. To see roughly what this leaves after federal and Georgia tax, try our take-home pay calculator.
Skills in this advert
How often each skill named in this advert appears across the 1,783 data & AI jobs we list today. Python is the most widely requested (45% of jobs), while Kotlin is the least common (1%). Widely requested skills are what employers expect as a baseline; rarer ones show what is special about this job.
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Before you apply
- Check it is still open. We found this job on Mastercard's Workday site on November 5 and checked it again November 5, 5:17 AM ET. When an employer takes a job down, we remove it at our next daily update.
- Check the location works for you. This role is based in Atlanta, GA. If you would need to move, ask whether relocation help is offered.
- Tailor your resume. Use the advert's own words, such as Java, Kotlin and Python, wherever they are true for you. Our resume guide shows how.
- Know your number. Decide the lowest offer you would accept before the first call. Our salary negotiation guide explains how to ask for more.
- Apply only through Mastercard's own site. Our Apply button goes straight to Mastercard's Workday page. If anyone contacts you about this job and asks for money, gift cards or bank details, stop and check it with our scam checker. Read how to spot a fake job offer.
About hiring at Mastercard
Mastercard has 100 openings on USA Jobs 24 today across 11 states. Most are in software & IT (22), product & design (15) and data & AI (13). The biggest locations are Purchase, NY (44), O'Fallon, MO (35) and New York, NY (16). None of them is fully remote, none is marked entry level and 93% show pay. We collect Mastercard's jobs every day straight from its own careers system (Workday), never from job boards or agencies.
The employer's advert
This is Mastercard's own description of the job, copied word for word from its careers site. We have not edited it.
Show the full advert from MastercardHide the advert922 words
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 reasonable_accommodation@mastercard.com 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.
Pay Ranges
Atlanta, Georgia: $115,000 - $184,000 USDUSA Jobs 24 copied this listing from Mastercard's official careers site on November 5, 2026 and checked it again November 5, 5:17 AM ET. Mastercard will never ask you to pay to apply or to buy equipment with a check they send you. If anyone does, it is a scam.
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