SAP Enterprise AI Specialist — Cloud & Data Pipelines

Accenture UK; Greater London; On-site; GBP 85,000 - 120,000; Full time

Benefits offered by this job

25 days vacation

Private medical insurance

Volunteer days

Job summary

Accenture SAP Enterprise AI Analyst in London/Manchester/Birmingham is a hands-on role joining the SAP Business Group to help build and deploy next-generation enterprise AI capabilities. You will contribute to BTP service configuration, ingestion pipeline runs, extractor scheduling, and citation validation on live client engagements.

Working with senior engineers, you will develop deep expertise in platform components, ensure data quality, and communicate progress clearly to project teams while

Qualifications

• Experience with SAP BTP services and SAP enterprise AI platforms.
• Ability to configure ingestion pipelines and validate citations.
• Familiarity with data masking in enterprise data stores.
• Proven ability to document scope and data ownership.

Responsibilities

• Support build and deployment of the SAP enterprise AI platform.
• Configure BTP services, manage ingestion runs, and citation validation on client projects.
• Provide status updates and develop deep expertise in platform components.
• Gather source inventory details and document extraction scope per checklist.

Skills

SAP BTP basics

RAG pipelines

Python/Node.js

Data masking

Citation validation

Enterprise security basics

Stakeholder communication

Documentation & standard processes

Delta scheduling & health checks

Tools

SAP BTP

Python

Node.js

Cortex Graph

HANA Cloud

Job description

Accenture SAP Enterprise AI Analyst in London/Manchester/Birmingham is a hands-on role joining the SAP Business Group to help build and deploy next-generation enterprise AI capabilities. You will contribute to BTP service configuration, ingestion pipeline runs, extractor scheduling, and citation validation on live client engagements.

Working with senior engineers, you will develop deep expertise in platform components, ensure data quality, and communicate progress clearly to project teams while