SAP AI Lead Developer

NTT DATA Americas, Inc.Plano, TX

About The Position

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a SAP AI Lead Developer to join our team in Plano, Texas (US-TX), United States (US). SAP AI Lead Developer Day to Day job Duties: (what this person will do on a daily/weekly basis) The SAP AI Lead Developer is responsible for defining and driving the technical vision, architecture, and delivery of AI/ML-enabled solutions within the SAP ecosystem specifically Joule Skills, Joule Agents, Joule Studio. • Ensure that business requirements are translated into scalable, secure, and maintainable AI solutions integrated with SAP platforms and aligned with enterprise strategy. • Work on the architecture and design of AI/ML solutions embedded in the SAP landscape (S/4HANA, SAP BTP, SAP Data Intelligence, SAP Analytics Cloud etc.). • Collaborate with business stakeholders and technical teams to capture requirements and convert them into solution designs. • Define data architecture, pipelines, model deployment flows, and integration patterns for AI/ML in SAP environments. • Select appropriate AI technologies, platforms, and frameworks (LLMs, predictive analytics, anomaly detection) that align with SAP capabilities. • Ensure scalability, performance, reliability, and security of AI solutions within the SAP system landscape. • Lead and work on implementation phases, from design to deployment, integration, testing, and rollout. • Create and maintain architecture documentation and model life-cycle strategies. • Monitor AI and SAP technology trends and propose innovations and optimizations. • Manage risks, compliance and governance required for AI/ML adoption/implementation.

Requirements

  • Bachelor’s or master’s degree in computer science, Data Science, Engineering, or related field.
  • 12+ years of experience in SAP with focus 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 stakeholder management abilities.
  • Proven leadership in cross-functional team environments.
  • Commitment to continuous learning in evolving AI and SAP technologies.
  • 12+ years of experience in SAP with focus on solution development, architecture, and implementation.
  • 3+ years of SAP AI/ML experience.

Nice To Haves

  • Working experience of AI/ML solutions embedded in the SAP landscape
  • AI technologies, platforms, and frameworks (LLMs, predictive analytics, anomaly detection) that align with SAP capabilities

Responsibilities

  • Ensure that business requirements are translated into scalable, secure, and maintainable AI solutions integrated with SAP platforms and aligned with enterprise strategy.
  • Work on the architecture and design of AI/ML solutions embedded in the SAP landscape (S/4HANA, SAP BTP, SAP Data Intelligence, SAP Analytics Cloud etc.).
  • Collaborate with business stakeholders and technical teams to capture requirements and convert them into solution designs.
  • Define data architecture, pipelines, model deployment flows, and integration patterns for AI/ML in SAP environments.
  • Select appropriate AI technologies, platforms, and frameworks (LLMs, predictive analytics, anomaly detection) that align with SAP capabilities.
  • Ensure scalability, performance, reliability, and security of AI solutions within the SAP system landscape.
  • Lead and work on implementation phases, from design to deployment, integration, testing, and rollout.
  • Create and maintain architecture documentation and model life-cycle strategies.
  • Monitor AI and SAP technology trends and propose innovations and optimizations.
  • Manage risks, compliance and governance required for AI/ML adoption/implementation.
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