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Accenture

Advises businesses and runs their technology

SAP BTP – Enterprise AI Manager

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • Architectural authority across the Enterprise AI stack, including 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.
  • Design and govern GraphRAG knowledge planes, including ontology and graph edge construction, domain and provenance tagging strategy, trust gate configuration, and citation-enforcement architecture at enterprise scale.
  • Lead client-facing technical design sessions with senior management; translate Cortex platform capability into delivery outcomes; handle security and procurement governance; and own the technical terms of a deployment.
  • Lead and coordinate a cross-functional delivery team across multiple workstreams, including Accenture engineers and client BTP, basis, security, and functional leads, through all five deployment gates from subaccount creation to production handover.
  • Understand enterprise security and compliance requirements for AI platforms, including model route approvals, egress whitelisting, data masking and clearance governance, role-based domain access, and sovereign model routing.
  • Take AI delivery assets from pilot to repeatable method, including packaging ingestion templates, graph structure definitions, prompt and persona libraries, and deployment runbooks.
  • Have sufficient hands-on technical depth to review architecture trade-offs, challenge engineering decisions, and credibly lead Cortex technical sessions with client senior IT, without requiring day-to-day implementation involvement.
  • Manage roadmap sequencing under execution pressure, including alpha release milestones, performance optimisation targets such as query time reduction, UX refactoring, offshore capacity constraints, and agentic kernel development in parallel.
  • Lead project status updates and design sessions with client senior management, represent Enterprise AI credibly to Accenture leadership, and contribute substantively in those forums.

Responsibilities

  • Lead technical delivery and architecture across multiple client engagements simultaneously.
  • Hold architecture decisions across the full Enterprise AI stack and own delivery quality across the five deployment gates.
  • Carry responsibility across multiple teams, including Accenture engineers and client BTP, basis, security, and functional leads, and contribute to business area decisions on platform direction.

Desired Qualifications

  • Experience delivering enterprise SAP or AI platforms, with a minimum of two full project lifecycles where architecture or delivery leadership accountability was held across multiple teams.
  • A demonstrable record of leading cross-functional technical teams through a complete deployment lifecycle, from subaccount provisioning and ingestion pipeline build through client handover and production go-live.
  • Direct experience with Claude Code, MCP-based tool integrations, or equivalent agentic AI frameworks in a controlled enterprise environment, including connector setup, security approval, and end-to-end testing.
  • Experience with SAP ECC or S/4HANA system internals at architecture depth, including data dictionary, CDS views, RICEFW objects, configuration tables, and workflow logs.
  • A track record of directly supervising and developing engineers, including onboarding them to a complex technical platform, setting weekly priorities, providing structured feedback, and managing direct reports.
  • An informed point of view on the direction of enterprise SAP AI, including agentic kernels, near-real-time extraction, and petabyte-scale knowledge planes, and the credibility to bring that perspective into client design discussions and Accenture business area conversations.

About the Company

Accenture

Advises businesses and runs their technology

Accenture advises large businesses and public agencies on strategy, builds their technology systems and runs ongoing operations. Its teams connect business planning with implementation, covering areas such as cloud migration, cybersecurity and customer experience. Consultants work with clients to redesign processes, while engineers integrate software from technology partners and maintain the resulting systems for multinational organizations. Clients pay for project work or continuing services, including application support and business processes such as finance and customer service. Accenture was founded in 1989 and has its headquarters in Dublin, Ireland.

Company size
10,001+
Company stage
IPO
Headquarters
Dublin, Ireland
Founded
1989

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