SAP Enterprise AI Consultant

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As an analyst on the in Accenture’s SAP Business Group, you will support the build and deployment of the next-generation SAP enterprise AI platform. Working under direction from senior engineers, you will contribute to specific components of the Enterprise AI stack — BTP service configuration, ingestion pipeline runs, extractor job scheduling, and citation validation — on live client engagements. You will receive weekly task direction, provide project-specific status updates, and develop deep expertise in a focused area of the platform.

• Working knowledge of SAP BTP services: HANA Cloud, Object Store, Job Scheduler, and CAP runtime — sufficient to provision, configure, and monitor instances under senior guidance.
• Practical understanding of RAG pipelines: how documents are chunked, embedded, tagged by domain and provenance, and loaded into a vector and graph store.
• Scripting capability (Python or Node.js) for ingestion tooling, extraction validation, and automated spot-checks against the Cortex graph and citation layer.
• Understanding of data masking and scrubbing requirements: able to apply agreed masking rules to extraction output before files enter the Enterprise AI object store vault.
• Attention to quality in citation validation: able to spot-check cited answers back to source documents and flag defects — a confident answer with no citation is a defect.
• Familiarity with enterprise security basics: egress rules, role-based access, and service key management in a BTP subaccount context.
• Able to work alongside functional and basis teams to gather source inventory details, confirm data owners, and document extraction scope per the agreed ingestion checklist.
• Structured and methodical approach to repetitive technical tasks: ingestion runs, delta scheduling, health checks, and smoke tests executed consistently and to a documented standard.
• Clear written and verbal communication for project-specific status updates and issue escalation to senior engineers and the delivery lead.

• Exposure to SAP BTP through academic, intern, or early-career project work — any hands-on configuration of HANA Cloud, CAP services, or BTP cockpit tooling is an advantage.
• Experience running or supporting a data ingestion or ETL pipeline in any technology context — the discipline of parse, validate, load, and verify transfers directly to Cortex ingestion work.
• Hands-on use of an LLM API (any provider) in a project or personal context: prompt construction, response parsing, and understanding of why grounding and…