Sap Ai Engineering Architect

Remote

Fulltime

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.

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