SAP Enterprise AI Consultant

Salary: £50,000 - 75,000 per year Requirements: • Working knowledge of SAP BTP services, including HANA Cloud, Object Store, Job Scheduler, and CAP runtime, sufficient to provision, configure, and monitor instances under senior guidance. • Practical understanding of RAG pipelines, including document chunking, embedding, domain and provenance tagging, and loading into vector and graph stores. • Scripting capability in 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, with the ability to apply agreed rules to extraction output before files enter the Enterprise AI object store vault. • Attention to quality in citation validation, including checking cited answers against source documents and flagging defects such as answers without citations. • Familiarity with enterprise security basics, including egress rules, role-based access, and service key management in a BTP subaccount context. • Ability to work with functional and basis teams to gather source inventory details, confirm data owners, and document extraction scope using the agreed ingestion checklist. • A structured and methodical approach to repetitive technical tasks, including ingestion runs, delta scheduling, health checks, and smoke tests performed consistently 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 is an advantage; hands-on configuration of HANA Cloud, CAP services, or BTP cockpit tooling is beneficial. • Experience running or supporting a data ingestion or ETL pipeline in any technology context is beneficial. • Hands-on use of an LLM API in a project or personal context, including prompt construction, response parsing, and understanding the importance of grounding and citation for enterprise use, is beneficial. • Exposure to SAP ECC or S/4HANA internals, including data dictionaries, transaction codes, configuration tables, or master data structures, is beneficial. • Experience contributing to shared documentation, such as test logs, ingestion run records, citation spot-check reports, or setup notes, is beneficial. • Genuine interest in enterprise AI and SAP technology, including grounded knowledge planes, agentic delivery, and graph-based reasoning in transformation programmes. • Flexibility and mobility to spend time onsite with clients and partners as needed. Responsibilities: • Support the build and deployment of our next-generation SAP enterprise AI platform as an analyst in our SAP Business Group. • Contribute, under senior engineers direction, to components of the Enterprise AI stack, including BTP service configuration, ingestion pipeline runs, extractor job scheduling, and citation validation on live client engagements. • Provide project-specific status updates and develop deep expertise in a focused area of the platform. • Work under direction from senior engineers and escalate issues to senior engineers and the delivery lead. Technologies: • AI • API • Cloud • ETL • Support • LLM • Python • RAG • SAP • SAP BTP • Security • NodeJS • Embedded • Network More: We are Accenture, a global professional services company providing strategy and consulting, interactive, technology, and operations services, with digital capabilities across our business. We combine technology and leadership in cloud, data, and AI with industry experience and global delivery capabilities to help clients transform. This full-time Consultant/Associate Manager role is based in London, Manchester, or Birmingham. We offer a competitive salary and package dependent on experience, up to 25 days vacation per year, private medical insurance, and three additional days of leave per year for charitable work. The role involves onsite time with clients and partners. We value inclusion, diversity, innovation, and creating value for our clients and communities. The application closing date is 28 February 2027; we may close the role earlier if a suitable applicant is found. last updated 40 week of 2026