SAP AI Engineering Architect

Job Title: SAP AI Engineering Architect

Job Summary

We are seeking an experienced SAP AI Engineering Architect to lead the design and implementation of secure, scalable, and high-performing AI solutions across SAP ecosystems.

The ideal candidate will combine deep SAP Business Technology Platform (BTP) expertise with hands-on experience in Generative AI, machine learning, enterprise integrations, APIs, and cloud-native application architecture.

Required Qualifications

• Strong expertise in SAP architecture, SAP BTP, and AI-driven solution design.

• Hands-on experience with SAP Generative AI Hub, SAP AI Core, SAP AI Business Services, SAP Integration Suite, and SAP Extension Suite.

• Proficiency in Python and Java.

• Experience with TensorFlow, PyTorch, or comparable machine-learning frameworks.

• Proven experience designing secure, scalable AI-powered applications and extensions on SAP BTP.

• Knowledge of SAP HANA Cloud, SAP Data Intelligence, SAP Analytics Cloud, vector databases, and knowledge graphs.

• Understanding of Agent-to-Agent (A2A) communication and Model Context Protocol (MCP) technologies.

• Experience with APIs, microservices, data orchestration, analytics, and machine-learning model deployment.

• Strong understanding of SAP S/4HANA integration and SAP Fiori application development.

• Experience with JavaScript, HTML, Fiori Web Components, and API consumption.

• Knowledge of Generative AI, prompt engineering, data governance, and enterprise security practices.

Key Responsibilities

• Lead the architecture, development, and implementation of AI-driven solutions within SAP environments.

• Design AI solutions that improve business processes, automation, decision-making, and operational efficiency.

• Build and deploy secure, scalable, and high-performing AI applications on SAP BTP.

• Use SAP Generative AI Hub, SAP AI Core, SAP AI Business Services, and related BTP services to deliver enterprise AI solutions.

• Develop and manage APIs and microservices that integrate SAP and non-SAP applications.

• Enable data orchestration, analytics, predictive insights, and AI/ML model deployment using SAP BTP.

• Identify AI integration and automation opportunities across SAP landscapes.

• Ensure solutions follow enterprise architecture, data governance, security, and SAP best practices.

• Provide technical leadership, architectural guidance, and mentorship to development teams.

• Evaluate emerging SAP BTP, Generative AI, and agentic AI technologies to drive innovation.

Leadership Skills

• Ability to translate business challenges into practical SAP BTP and AI-enabled solutions.

• Strong collaboration with business, architecture, security, data, and engineering teams.

• Excellent communication with technical, management, and executive stakeholders.

• Strong problem-solving, ownership, innovation, and business-process understanding.

• Experience leading and mentoring SAP, AI, and integration engineering teams.

Core Skills

SAP BTP, SAP Generative AI Hub, SAP AI Core, SAP AI Business Services, SAP Integration Suite, SAP Extension Suite, SAP S/4HANA, SAP HANA Cloud, SAP Fiori, Python, Java, TensorFlow, PyTorch, Generative AI, Prompt Engineering, Vector Databases, Knowledge Graphs, A2A, MCP, APIs, Microservices, Machine Learning, Data Governance, and Enterprise Architecture.