Posted Oct 28, 2026

SAP AI Engineering Architect

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Job Description:   Must Have Technical/Functional Skills -              Deep expertise in SAP architecture, SAP Business Technology Platform, and AI-driven solution design. -              Hands-on proficiency with SAP Generative AI Hub, SAP AI Core, SAP AI Business Services, SAP Integration Suite, and SAP Extension Suite. -              Strong understanding of machine learning frameworks such as TensorFlow and PyTorch, and programming experience in Python and Java. -              Experience designing secure, scalable, high-performing AI-powered applications and extensions on SAP BTP. -              Knowledge of SAP HANA Cloud, SAP Data Intelligence, SAP Analytics Cloud, vector engines, knowledge graphs, A2A, and MCP technologies. -              Experience with APIs, microservices, data orchestration, analytics, and machine learning model deployment across SAP and non-SAP landscapes. -              Understanding of SAP S/4HANA integration, SAP Fiori application development, JavaScript, HTML, Fiori Web Components, and API consumption. -              Strong knowledge of data governance, security best practices, Generative AI, prompt engineering, and AI-powered business transformation. Roles & Responsibilities -              Lead the design, development, and implementation of AI-driven solutions within SAP ecosystems. -              Architect and implement AI solutions within SAP systems to enhance business processes, decision-making, automation, and operational efficiency. -              Design and deploy scalable, secure, and high-performing AI-powered applications on SAP BTP. -              Use SAP Generative AI Hub, SAP AI Core, SAP AI Business Services, SAP Integration Suite, and related BTP services to build innovative enterprise solutions. -              Develop and manage APIs and microservices using SAP BTP tools to enable seamless integration across SAP and non-SAP systems. -              Leverage SAP BTP capabilities for data orchestration, analytics, AI/ML model deployment, predictive insights, and real-time decision-making. -              Collaborate with business, functional, data, security, and engineering teams to identify AI integration and automation opportunities across SAP landscapes. -              Ensure solutions comply with data governance, enterprise security standards, architecture principles, and SAP best practices. -              Provide technical leadership, solution guidance, and mentorship to development teams. -              Stay current with emerging AI technologies, SAP BTP advancements, Generative AI patterns, and industry best practices to drive innovation.   Generic Managerial Skills, If any -              Provide technical leadership and mentorship to SAP, AI, and integration development teams. -              Collaborate effectively with cross-functional business, architecture, security, data, and engineering stakeholders. -              Translate business challenges into practi cal SAP BTP and AI-enabled solution designs. -              Communicate solution approach, technical risks, architecture decisions, and delivery status clearly to technical and management audiences. -              Demonstrate strong problem-solving skills, business process acumen, innovation mindset, and ownership of delivery outcomes.