SAP Agent Architect

Beschreibung

Job Zusammenfassung In dieser Position entwickelst du KI-gestützte Agenten für den Kundenservice in SAP-Umgebungen, gestaltest deren Integrationen und testest ihre Funktionalität zur Optimierung von Geschäftsprozessen. Job Zusammenfassung In dieser Position entwickelst du KI-gestützte Agenten für den Kundenservice in SAP-Umgebungen, gestaltest deren Integrationen und testest ihre Funktionalität zur Optimierung von Geschäftsprozessen. Deine Rolle im Team As a SAP Agent Architect at Parloa, you will help transform customer service with AI agents in enterprise SAP environments. In this customer-facing role, you will support implementations where Parloa's conversational AI platform must work reliably with SAP data, processes, and integration constraints -from design through testing and go-live readiness. You combine LLM and agent design (prompt engineering, conversational structure, quality, and operational readiness) with hands-on SAP integration literacy: you understand how Parloa agents should read from and write to SAP systems safely and predictably, and you partner with Forward Deployed Engineering and customer SAP teams to make that path buildable, testable, and production-grade. You will design, prototype, validate, and refine conversational solutions and agent workflows that depend on SAP-backed use cases (for example order management, customer data, case management, and transactional queries), while ensuring the integration layer between Parloa and SAP is reflected accurately in agent behavior, tools, and guardrails. Unsere Erwartungen an dich Qualifikationen Exposure to SAP AI Core, SAP Agent Builder, or similar AI extensions within SAP. Solid understanding of SAP APIs and data access patterns across one or more relevant surfaces: OData v2/v4, REST/SOAP, and authentication patterns including OAuth2 and SAP IAS/XSUAA. Strong prompt engineering and LLM workflow design skills: you can analyze requirements and craft prompts/instructions for reliable, user-aligned behavior under enterprise constraints. Analytical and structured communicator: explicit trade-offs, decisions, next steps; strong stakeholder and milestone discipline. Proficiency with JSON/XML, API testing tools (e.g. Postman), and reading enterprise API documentation. Erfahrung 4+ years in enterprise customer-facing roles with proven expertise in conversation design and AI agent development for implementation settings (not only concept work). Experience with conversational AI / contact center / CX technology in an SAP context. Demonstrable SAP integration experience in live enterprise delivery contexts, including comfort operating across SAP BTP, S/4HANA, ECC, Service Cloud, CRM, and/or adjacent SAP CX stacks as they relate to agent-connected use cases. Unser Angebot Parloa is committed to upholding the highest data protection standards for our clients' and employees' data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information. Parloa is an e-verify employer in the USA. Themen mit denen du dich im Job beschäftigst API Design AI Integrations Metadaten Level: Erfahren Job Feld: IT, Application, DevOps Anstellung: Vollzeit Vertragsart: Unbefristetes Dienstverhältnis Arbeitsmodell: Onsite Unternehmenstyp: Startup Branche: Internet, IT, Telekom Ort: Berlin | Deutschland

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