Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Data Analytics, Data Engineering, Business Intelligence, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

We are looking for an SAP Business AI Architect to design and deliver AI-driven capabilities across the SAP landscape of our clients. You will turn business priorities into practical AI solutions built on SAP Business Technology Platform (BTP) and SAP Business Data Cloud (BDC), using governed business data as the foundation for analytics and AI.

Responsibilities

• Define the target-state architecture and roadmap for AI and data across the SAP landscape, with BTP as the application and integration platform and BDC as the strategic data foundation.
• Identify and prioritize high-value AI use cases with business leaders, backed by clear value cases.
• Establish reference architectures, standards, and governance for AI, generative AI, and agentic solutions.
• Lead data product strategy: define, publish, and govern SAP and custom data products in BDC for reuse across analytics and AI.
• Architect AI solutions on BTP using SAP Joule, AI Core, AI Launchpad, Generative AI Hub, SAP Build, Integration Suite, and HANA Cloud (vector engine).
• Design BDC architectures spanning SAP Datasphere, SAP Analytics Cloud, SAP HANA Cloud, and SAP Databricks, including zero-copy data sharing with Databricks and other external platforms.
• Partner with SAP, system integrators, and hyperscalers on solution fit and roadmap alignment.

• Design RAG, copilot, and autonomous-agent solutions that combine BTP services with governed BDC data and SAP business context.
• Integrate third-party, open-source, and hyperscaler models (Azure, AWS, Google Cloud) with SAP systems.
• Apply clean-core principles, using APIs, events, and ABAP Cloud/CAP on BTP for extensibility.
• Provide technical leadership through build, deployment, and ongoing model monitoring and cost control (MLOps/LLMOps).

Required Qualifications

• 10+ years in enterprise or solution architecture, including 5+ years in SAP environments (S/4HANA, BTP).
• Hands-on experience designing and delivering solutions on SAP BTP, including integration, extensibility, and security.
• Extensive knowledge of SAP BDC, Datasphere, and SAP Analytics Cloud, including data products, data modeling, and federation.
• Hands-on experience delivering AI/ML or generative AI solutions in an enterprise setting.
• Experience with Databricks or comparable lakehouse platforms, modern data pipelines, data governance, lineage, and master data.
• Strong understanding of LLMs, embeddings, vector databases, RAG, and agent frameworks.
• Excellent communication skills, with the ability to engage both technical and executive audiences.

Requirements

• Bachelor's degree in Computer Science, Information Technology, Business Administration, or a related field.
• Minimum of 5 years of experience in SAP consulting, implementation, or support.
• Good understanding of SAP applications, modules, and business processes.
• Experience working on SAP implementation, configuration, enhancement, and support projects.
• Ability to understand business requirements and translate them into SAP solutions.
• Experience working with cross-functional teams and client stakeholders.
• Knowledge of SAP integration, testing, and troubleshooting.
• Strong analytical, problem-solving, and communication skills.
• Ability to work independently as well as in a team environment.
• Good client-facing and stakeholder management skills.

Benefits

• Competitive salary and comprehensive benefits package.
• Opportunity to work on diverse SAP projects across industries.
• Exposure to enterprise-level technology solutions and business transformation initiatives.
• Professional development and learning opportunities.
• Collaborative and supportive work environment.
• Flexible work arrangements.