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N-iX

Senior SAP Systems Architect (AI Integration)

Posted 9 Days Ago
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Remote
Hiring Remotely in Greece
Senior level
Remote
Hiring Remotely in Greece
Senior level
Architect and build a secure SAP Data Access Layer enabling AI agents to read/write transactions via OData/BAPI/APIs; map Procure-to-Pay and Record-to-Report into machine-executable skills; design data pipelines from S/4HANA, Ariba and MM; optimize CDS views for high-frequency AI queries; enforce RBAC, auditing, data sovereignty, and export-control compliance.
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N-iX is looking for a SAP Systems Architect (AI Integration) to join our team. 

Our client is an innovative technology company developing advanced AI-powered solutions for enterprise and industrial environments. The organization focuses on leveraging artificial intelligence to optimize complex engineering, manufacturing, and supply chain processes through intelligent software platforms and data-driven decision-making.

The client is seeking a Senior SAP Systems Architect to unlock the "Digital Backbone" for autonomous AI agents. While Data Scientists build the brains (LLMs), you will build the nervous system that connects those brains to the enterprise core. You will serve as the primary architect for the SAP Data Access Layer (DAL), a critical component of the iAI strategy. Your mandate is to transform a rigid, defense-grade SAP landscape (S/4HANA, Ariba, BTP) into an API-accessible environment where AI agents can securely perform tasks—from forecasting liquidity to executing procurement orders. Working within a structured "Stage Gate" delivery model, you will ensure that AI-driven automation adheres to the strict transactional integrity and auditability.

Key Responsibilities

  • Data Access Layer (DAL) Design: Architect the secure gateway that sits between AI Agents and the SAP Core. Design robust OData services and APIs that allow agents to "read" live financial data and "write" transactions (e.g., posting invoices, updating PRs) with zero risk of corruption using BTP and other SAP integration tools for S4, Ariba and SF.
  • API Strategy: Lead the "Build vs. Buy" technical assessment for integration tools
  • Workflow Orchestration: Map complex business processes (e.g., "Procure-to-Pay," "Record-to-Report") into discrete, machine-executable "Skills" that an AI agent can trigger via the SAP Business Technology Platform (BTP).
  • Module-Specific Engineering  (Structures, integration methods, and flows understanding for SAP to Non-SAP env. integrations)
  • Finance & Control (FICO): Configure and expose deep data structures within S/4HANA to power the "Controllership Agent" and "Treasury Agent," ensuring real-time visibility into cash positions and reconciliation logic.
  • Supply Chain & Procurement (MM/Ariba): Architect the data pipelines that feed the "BoM Cost Analysis" and "Supplier Risk Scoring" engines, integrating data from SAP Ariba and SAP MM (Materials Management) to provide a unified view of the supply chain.
  • Design secure connectors for the "iAI HC" initiative, allowing agents to access employee master data and organizational structures while maintaining strict PII compliance.
  • Optimize HANA database views (CDS Views) to support high-frequency querying by AI forecasting engines without degrading the performance of the transactional ERP system. 

Requirements:

  • Core SAP Stack: Expert-level knowledge in integration of SAP S/4HANA on-prem, SAP Ariba, SF.
  • Proficiency in SAP Integration Design and Deploy utilizing BTP CPI,  OData services, external APIs, and other techniques to build connections of SAP with external systems or SAP to SAP native integrations.
  • Strong command of ABAP, CDS Views, and HANA SQLScript. 
  • Technical depth in at least two of the following core module structures for: FI/CO (Finance), MM (Materials Mgmt), or Ariba (Procurement). 
  • Familiarity with exposing SAP logic to non-SAP environments (Python/Node.js) and understanding of RESTful API design principles. 

Nice to have:

  • Proficiency in SAP CAP (Cloud Application Programming) and overall  ABAP OOP
  • Experience extracting data for external Data Lakes (e.g., via SAP Datasphere or BW/4HANA). 

We offer*:

  • Flexible working format - remote, office-based or flexible
  • A competitive salary and good compensation package
  • Personalized career growth
  • Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
  • Active tech communities with regular knowledge sharing
  • Education reimbursement
  • Memorable anniversary presents
  • Corporate events and team buildings
  • Other location-specific benefits

*not applicable for freelancers

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