Lead SAP AI Architect & ML Innovator

NTT America, Inc.; Plano (TX); On-site; USD 160,000 - 210,000; Full time

Job summary

NTT DATA seeks an SAP AI Lead Developer to define and drive the technical vision for AI/ML-enabled solutions within the SAP ecosystem in Plano, Texas. You will shape architecture, deployment flows, and integration patterns across S/4HANA, SAP BTP, and SAP Data Intelligence to support Joule capabilities.

You will collaborate with stakeholders to translate requirements into scalable designs, lead delivery phases, and ensure security, performance, and governance within the SAP landscape.

Qualifications

• Bachelor's or Master’s degree in Computer Science, Data Science, Engineering, or related field.
• 12+ years in SAP, focusing on solution development, architecture, and implementation.
• Proficiency with AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn) and programming languages (Python, R).
• Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices.
• Strong architectural design and system integration skills.
• Excellent communication and leadership abilities.

Responsibilities

• Define and drive the technical vision, architecture, and delivery of AI/ML-enabled SAP solutions.
• Design AI/ML pipelines, data architectures, deployment flows, and integration patterns for SAP environments.
• Lead cross-functional teams from design through deployment, testing and rollout.
• Ensure scalable, secure, and enterprise-aligned AI solutions within SAP landscapes.

Skills

AI/ML frameworks

Python

Data architecture

Leadership

SAP integration

Education

Bachelor's or Master's in CS/Engineering

Tools

AWS

Azure

GCP

MLOps

Job description

NTT DATA seeks an SAP AI Lead Developer to define and drive the technical vision for AI/ML-enabled solutions within the SAP ecosystem in Plano, Texas. You will shape architecture, deployment flows, and integration patterns across S/4HANA, SAP BTP, and SAP Data Intelligence to support Joule capabilities.

You will collaborate with stakeholders to translate requirements into scalable designs, lead delivery phases, and ensure security, performance, and governance within the SAP landscape.