SAP AI Architect / Lead

The SAP AI Architect is responsible for defining and driving the technical vision, architecture, and delivery of AI/ML-enabled solutions within the SAP ecosystem. Ensure that business requirements are translated into scalable, secure, and maintainable AI solutions integrated with SAP platforms and aligned with enterprise strategy. Lead 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 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. Bachelor's or master's degree in computer science, Data Science, Engineering, or related field. 8-12+ years of experience in AI 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. Deep knowledge of SAP technologies: S/4HANA, SAP BTP, AI Core, AI Launchpad, Data Intelligence, SAP Analytics Cloud. DevOps knowledge (CI/ CD, Jenkins, Pipeline Management) Hands on experience development full stack application on BTP using CAP and/or RAP frameworks. Hands-on experience in BTP Process Automation, RPA bot development is advantage