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Senior Principal Advanced Manufacturing Engineer, Laser Processing & Precision Joining – NMPH – Fridley, MN (Onsite)
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Fridley, MN
The Senior Principal Advanced Manufacturing Engineer will provide technical leadership for advanced manufacturing process development supporting implantable medical devices. This role will…
Added just now
Mechanical Engineer Intern - Special Tooling and Test Fixtures (Summer 2027)
United States
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Added 1 min ago
Software Development Engineer, Network Monitoring and Remediation (NMR)
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Forward Deployed Engineer (FDE), AWS Forward Deployed Engineering, US Government
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Quality Engineer II
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Added 4 mins ago
Senior Connectivity Systems Engineer
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FE
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Flight Performance Engineer
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Added 9 mins ago
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Staff Data Engineer
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Added 15 mins ago
Senior Systems Engineer (I.S.)
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Closed listing

Mastercard

Software Engineer II - AI Platforms

Atlanta, GA, United States

Pay Ranges Atlanta, Georgia: $92,000 - $147,000 USD

This opening has closed.

The original listing is kept below for reference.

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Job details

Pay: Pay Ranges Atlanta, Georgia: $92,000 - $147,000 USD
Posting language: English
Posted: Nov 4, 2026

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Original job description

Archived listing. The details below describe a past opening.

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

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More about this job

Skills

Regulatory compliance
Troubleshooting
Process improvement
Computer science
Object-oriented programming
Back-end development
Oracle Java
Kotlin
Python
Software development
Communication skills
Test automation
Workflow
Cybersecurity
Confidentiality

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