Global AI Platform Engineer: Scale ML & Deploy

Global Payments; Alpharetta (GA); On-site; USD 140,000 - 200,000; Full time

Job summary

Global Payments is seeking an AI Platform Engineer to join the Data & AI team. You will build and evolve secure, scalable AI platform capabilities that empower data scientists and engineers to move AI solutions from experimentation to production with confidence.

You will drive automated model deployment, data pipelines, evaluation workflows and CI/CD, while ensuring observability, monitoring and cost optimization for AI at scale across a global organization.

Qualifications

• 4–8 years of hands-on experience building, automating, deploying or operating AI/ML platforms in production.
• Strong engineering capabilities with Python, SQL, cloud services, Docker, Kubernetes, CI/CD and infrastructure as code (Terraform or equivalent).
• Proven experience with MLOps, LLMOps, model lifecycle tooling, APIs, monitoring and production troubleshooting.
• Experience designing and operating data pipelines, distributed processing and scalable cloud architectures.
• Relevant degree in quantitative analytics, statistics, mathematics, data science or related discipline.

Responsibilities

• Build and evolve scalable AI platform capabilities enabling training, deployment, monitoring and scaling of AI/ML solutions.
• Accelerate AI delivery from experimentation to production with automated model deployment, data/feature pipelines and CI/CD capabilities.
• Strengthen production AI reliability via observability, model monitoring, logging and evaluation to maintain performance at scale.
• Shape the foundation for generative AI innovation with model serving, APIs, prompt/RAG workflows and vector infrastructure.
• Influence platform architecture, cloud infrastructure and engineering standards to improve efficiency, security, resilience and cost effectiveness.

Skills

Python

SQL

Cloud services

Docker

Kubernetes

CI/CD

Infrastructure as Code

Terraform

MLflow

LLMOps

Data pipelines

Education

Bachelor's degree in a quantitative analytics, statistics, mathematics, data science or related discipline

Master's degree preferred

Tools

Terraform

MLflow

Spark

Hadoop

Power BI

Tableau

Job description

Global Payments is seeking an AI Platform Engineer to join the Data & AI team. You will build and evolve secure, scalable AI platform capabilities that empower data scientists and engineers to move AI solutions from experimentation to production with confidence.

You will drive automated model deployment, data pipelines, evaluation workflows and CI/CD, while ensuring observability, monitoring and cost optimization for AI at scale across a global organization.