AI Solution Architect

Every day, Global Payments makes it possible for millions of people to move money between buyers and sellers using our payments solutions for credit, debit, prepaid and merchant services. Our worldwide team helps over 3 million companies, more than 1,300 financial institutions and over 600 million cardholders grow with confidence and achieve amazing results. We are driven by our passion for success and we are proud to deliver best-in-class payment technology and software solutions. Join our dynamic team and make your mark on the payments technology landscape of tomorrow.

Ready to take your career global?

Make your mark at one of the biggest names in payments. We’re looking for a Solution Architect to join our team and help shape the future of global commerce.

What you’ll own

Architect and design AI/ML solutions using GCP services (Vertex AI, BigQuery, Dataflow, Pub/Sub, Cloud Functions, etc.). Lead the end-to-end lifecycle of AI projects: requirements gathering, solution design, prototyping, development, deployment, and monitoring. Develop scalable data pipelines and model training workflows on GCP. Advise on best practices for data governance, security, and compliance in cloud-based AI systems. Collaborate with data engineers, data scientists, and business stakeholders to translate business needs into technical solutions. Optimize AI workloads for performance, cost, and reliability on GCP. Stay current with GCP advancements and emerging AI/ML technologies. Provide technical leadership, mentorship, and code reviews for AI projects.

What you’ll bring

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. 5+ years of experience in AI/ML solution architecture, with at least 2 years on GCP. Hands-on experience with GCP AI/ML services (Vertex AI, BigQuery ML, AutoML, etc.). Strong knowledge of data engineering (ETL, data lakes, data warehousing) on GCP. Proficiency in Python and SQL; experience with TensorFlow, PyTorch, or scikit-learn is a plus. Experience with MLOps, CI/CD, and model deployment on GCP. Familiarity with GCP security, IAM, and cost management. Excellent communication and stakeholder management skills. GCP Professional certifications (e.g., Professional Machine Learning Engineer, Professional Cloud Architect) are highly desirable.

It’s a bonus if you have Experience with multi-cloud or hybrid cloud AI architectures. Knowledge of data migration, data quality, and data lineage in cloud environments. Experience in regulated industries (finance, healthcare, etc.) is a plus.

What makes a Globalpayer?