AI & Data Platform Engineer

Global Payments; United States; On-site; USD 130,000 - 190,000; Full time

Job summary

Global Payments seeks an AI Platform Engineer to advance scalable AI platform capabilities, enabling teams to train, deploy, monitor and scale AI/ML solutions securely and efficiently. You will drive automated deployment, data pipelines and observability to accelerate from experimentation to production with cost awareness.

The role focuses on building model serving, APIs, prompt/RAG workflows, and scalable cloud infrastructure to support a global organization and diverse data teams.

Qualifications

• 4 to 8 years of hands-on experience building and operating AI platforms.
• Proficiency in Python, SQL, cloud services, Docker, Kubernetes, CI/CD, and IaC (Terraform).
• Experience with MLOps, LLMOps, MLflow, APIs, monitoring, and production troubleshooting.

Responsibilities

• Build and evolve scalable AI platform capabilities for training, deploying, monitoring and scaling AI solutions.
• Create automated model deployment, data/feature pipelines, evaluation workflows, and CI/CD capabilities.
• Strengthen production AI reliability via observability, model monitoring, logging and troubleshooting.
• Shape model serving, APIs, prompts, and Retrieval-Augmented Generation workflows for new AI-powered experiences.

Skills

Python

SQL

Cloud services

Docker

Kubernetes

CI/CD

Terraform

MLflow

LLMOps

APIs

Monitoring

Education

Bachelor's degree in a quantitative field

Master's degree in data science or related

Tools

Spark

Power BI

Tableau

Hadoop

Job description

Job Description Ready to take your career global? Make your mark at one of the biggest names in payments. We’re looking for an AI Platform Engineer to join our ever evolving Data & AI team and help shape the future of global commerce. You’ll build and evolve the secure, scalable AI platform capabilities that enable data scientists, machine learning engineers and application teams to move AI solutions from experimentation to production with confidence. From model deployment and observability to automation, generative AI workflows and cost optimization, your work will directly influence how quickly and reliably Global Payments can turn AI innovation into real business and client impact. You’ll have the opportunity to shape how AI is engineered and scaled across a global organization while helping build the technology foundation for the future of payments.

What you’ll own

Build and evolve scalable AI platform capabilities that enable teams to train, deploy, monitor and scale artificial intelligence and machine learning solutions reliably, securely and efficiently. Accelerate AI delivery from experimentation to production by creating automated model deployment, data and feature pipelines, evaluation workflows and continuous integration and continuous delivery (CI/CD) capabilities that improve speed, consistency and quality. Strengthen the reliability of production AI through robust observability, model monitoring, logging and evaluation capabilities that help teams identify issues faster, maintain performance and confidently operate AI at scale. Shape the foundation for generative AI innovation by advancing model serving, application programming interfaces (APIs), prompt and Retrieval-Augmented Generation (RAG) workflows and vector infrastructure that enable teams to build new AI-powered experiences. Optimize the performance and economics of AI at scale by influencing platform architecture, cloud infrastructure and engineering standards that improve efficiency, security, resilience and cost effectiveness.

What you’ll bring

4 to 8 years of hands-on experience building, automating, deploying or operating AI and machine learning platforms, with demonstrated success supporting production environments. Strong engineering capabilities with Python, Structured Query Language (SQL), cloud services, Docker, Kubernetes, CI/CD and infrastructure as code, using technologies such as Terraform or equivalent solutions. Proven experience with machine learning operations (MLOps), large language model operations (LLMOps), model lifecycle tooling such as MLflow, model serving, APIs, monitoring, logging and production troubleshooting. Experience designing and operating data pipelines, distributed processing and scalable cloud-based architectures, with the judgment to solve complex technical challenges and improve platform reliability. A relevant degree in quantitative analytics, statistics, mathematics, data science or a related discipline, combined with a collaborative and innovative mindset and the ability to influence technical decisions across teams. It’s a bonus if you have Experience with product analytics and using data and insights to influence product or platform decisions. A master’s degree in quantitative analytics, statistics, mathematics, data science or a related discipline. Experience with analytics, distributed data or visualization technologies such as Spark, Hadoop, Power BI, Tableau or similar platforms.

About the team

Our inclusive and global teams win together every day. We’re proud to have the best minds in the industry, who you can learn from as you grow your career. The people, the energy, the connections – it’s unmatched. Come and be part of an ever-evolving company and get dynamic opportunities that go beyond borders. What makes a Globalpayer? Globalpayers think like a client, act like an owner and win as one team. We’re curious and innovative – always finding better ways to deliver impact. We empower each other to make decisions, and it’s our passion that drives excellence in everything we set out to do. Come and be part of an ever-evolving company and get dynamic opportunities that go beyond borders.

EEOC Statement Global Payments is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, and other protected characteristics. The EEO is the Law poster is available here.

If you are made a conditional offer of employment and will be working in the United States, you will be required to undergo a drug test.

In developing this job description care was taken to include all competencies and requirements needed to successfully perform the position.

Reasonable accommodations will be provided for individuals with qualified disabilities both during the hiring process, as well as to allow the individual to perform the essential functions of the job, if hired.

Global Payments and Worldpay recently joined forces, and we’re currently operating across two Workday application systems. If you don’t see one of your applications here, it may have been submitted in the Worldpay Workday system instead.

Accommodations: Accessibility Requests: If you wish to request reasonable accommodations related to applying for employment or provide feedback about the accessibility of this website, please contact [e-mail].

At Global Payments (NYSE : GPN), we empower simple, fast, secure payments for everyone. And to do that, we’ve built a complete, worldwide commerce ecosystem that delivers software and services at scale to millions of companies around the world—from ambitious startups to global enterprises. Our team of 27,000 experts is dedicated to your success. Headquartered in Atlanta, Georgia, we're a Fortune 500 company and a member of the S&P 500 with worldwide reach spanning North America, Europe, Asia Pacific and Latin America. Wherever you are—or wherever you want to be—we’re there, ready to support you. For more information, visit company.globalpayments.com and follow Global Payments on X, LinkedIn and Facebook.

EEOC Statement: Global Payments Inc. is an equal opportunity employer. Global Payments provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex (including pregnancy), national origin, ancestry, age, marital status, sexual orientation, gender identity or expression, disability, veteran status, genetic information or any other basis protected by law. Those applicants requiring reasonable accommodation to the application and/or interview process should notify [e-mail].