Software Engineer II - AI Platforms

Mastercard is hiring a Software Engineer II - AI Platforms in Atlanta, United States. Level rates it ; you can apply on Mastercard.

Level's read on this job

Level rates this software engineer role Builds AI ●●●●: the job is building AI systems.
Tools and skills the posting cites include LLM integration, AI evaluation and AI safety.
Level classifies it as a mid-level role.
Level lists 948 other open roles at Mastercard.
The role was posted in the last few days.

AI in this role

llm-integrationai-evaluationai-safety

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, policy-driven platforms, guardrails, or responsible AI practices.

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.

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: $92,000 - $147,000 USD

How we rate this

Software Engineer II - AI Platforms at Mastercard rates 87 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Software Engineer II - AI Platforms is an open job at Mastercard.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in Atlanta, Georgia.
The job was posted on November 4, 2026.
Seniority: mid.
Applications are handled by Mastercard. Apply on Mastercard

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

LLM IntegrationAI EvaluationAI Safety

Also common in software engineer jobs at this level

C++AWS AI agents Kubernetes Generative AI TypeScript

Pay

Typical software engineer job: $167k

This posting doesn't list pay. Use the typical software engineer figure when pay comes up. See software engineer jobs

Questions you could be asked

How have you integrated a large language model into a production application?
How do you decide that one model's output is better than another's for a given task?
How do you think about the risk of an AI system in this kind of role failing silently?
How would you decide a model or AI system is ready to ship?
Tell me about a time a model underperformed in production. How did you find out, and what did you change?

Adapt your resume

List these exact terms on your resume: LLM Integration, AI Evaluation, and AI Safety. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

Get your CV reviewed before you apply

Send your CV and the role you want next. Your review arrives by email within 3 days.

Get a free CV review Check your resume with the ATS resume checker