SAP BTP – Enterprise AI Manager
Location: London/Manchester/Birmingham
Salary: Competitive salary and package (Depending on level of experience)
Career Level: 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 SAP Enterprise AI Manager in Accenture’s SAP Business Group, you will lead technical delivery and architecture across multiple client engagements simultaneously. You will hold architecture decisions across the full Enterprise AI stack, lead client-facing technical design sessions with senior management, and own delivery quality across the five deployment gates. You carry responsibility across multiple teams — Accenture engineers, client BTP and basis, security, and functional leads — and contribute to business area decisions on platform direction.
We are looking for experience in the following skills:
Architectural authority across the full Enterprise AI stack: HANA Cloud graph and vector store sizing, CAP service layer design, BTP subaccount structure, and Claude model route governance via MCP connector and Skald Gateway.
Proven ability to design and govern GraphRAG knowledge planes: ontology and graph edge construction, domain and provenance tagging strategy, trust gate configuration, and citation-enforcement architecture at enterprise scale.
Experience leading client-facing technical design sessions with senior management: translating Cortex platform capability into delivery outcomes, handling security and procurement governance, and owning the technical terms of a deployment.
Ability to lead and coordinate a cross-functional delivery team across multiple workstreams — Accenture engineers, client BTP, basis, security, and functional leads — through all five deployment gates from subaccount creation to production handover.
Deep understanding of enterprise security and compliance requirements for AI platforms: model route approvals, egress whitelisting, data masking and clearance governance, role-based domain access, and sovereign model routing.
Track record of taking AI delivery assets from pilot to repeatable method: packaging ingestion templates, graph structure definitions, prompt and persona libraries, and deployment runbooks that compress time-to-value on the next
SAP BTP – Enterprise AI Manager in London employer: Accenture UK
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