Help transform customer service with AI agents in enterprise SAP environments
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.
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)
Scope and implement AI Agent deployments, providing strategic advice and execution support to customers and partners with a focus on programs where SAP-backed systems and processes are in scope
Leverage your knowledge of LLMs to analyze customer requirements and design precise prompts for reliable, user-aligned behavior
Simplify complex workflows and processes into digestible conversational components
Fine-tune conversational flows and voice output to align with customer brand standards
Build and configure integrations between customers’ systems and Parloa’s platform
Collaborate with Forward Deployed Engineers on complex integration scenarios
Identify and solve blockers together with other departments at Parloa
Apply structured testing approaches to validate AI agent behaviour, quality, and performance under real-world conditions
Document best practices, how-to guides, and product capabilities for internal and external audiences

4+ years in enterprise customer-facing roles with proven expertise in conversation design and AI agent development for implementation settings
Exposure to SAP AI Core, SAP Agent Builder, or similar AI extensions within SAP
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
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

SAP Architect

Key skills