SAP Enterprise AI Analyst

Location: London/Manchester/Birmingham

Salary: Competitive salary and package (Depending on level of experience)

Career Level: Consultant/Associate Manager

Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skills and next-generation technology to each business challenge.

We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognised worldwide not just for business performance but for inclusion and diversity too.

“Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and with the communities in which we work and live. It is personal to all of us.” – Julie Sweet, Accenture CEO

In our team you will:

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.

We are looking for experience in the following skills:

• 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.

Set yourself apart:

• 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 citation matter for enterprise use.

• Exposure to SAP ECC or S/4HANA internals — data dictionary, transaction codes, configuration tables, or master data structures — even from a functional or testing background.

• Contribution to shared documentation: test logs, ingestion run records, citation spot-check reports, or setup notes that make the next deployment faster for the team.

• Genuine interest in enterprise AI and SAP technology — curious about how grounded knowledge planes, agentic delivery, and graph-based reasoning apply to real transformation programmes.

What’s in it for you

At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes up to 25 days’ vacation per year, private medical insurance and 3 extra days leave per year for charitable work of your choice!

Flexibility and mobility are required to deliver this role as there will be requirements to spend time onsite with our clients and partners to enable delivery of the outstanding services, we are known for.

Closing Date for Applications: 28/02/2027

Accenture reserves the right to close the role prior to this date should a suitable applicant be found.

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About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at www.accenture.com

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