About the role
About Parloa Parloa’s mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience — one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like Booking.com, Allianz, SAP, BarmeniaGothaer and TUI already deploying Parloa at scale.
About
the Role: As a Lead 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. Areas of Ownership: 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 (for example SAP Service Cloud / CRM, and related enterprise SAP landscapes) Leverage your knowledge of LLMs (e.g., embeddings) to analyze customer
requirements and design precise prompts for reliable, user-aligned behavior, including cases where agent actions depend on SAP-sourced data and SAP business rules Simplify complex workflows and processes into digestible conversational components, enabling LLMs to handle challenging tasks effectively Fine-tune conversational flows and voice output (e.g., SSML, Lexicons, Regex) to align with customer brand standards Build and configure integrations between customers’ systems and Parloa’s platform, connecting external tools (e.g., CRMs, ERPs, ticketing systems, contact center platforms, including SAP CX / SAP ERP surfaces where applicable) via integration platforms and APIs to deliver end-to-end enterprise solutions Collaborate with Forward Deployed Engineers on complex or custom integration scenarios that go beyond standard integration capabilities, including SAP-specific connectivity, authentication, and data-access patterns (e.g., OData, REST/SOAP, OAuth2 / SAP IAS / XSUAA) where they materially affect agent behavior and reliability Identify and solve blockers together with other departments at Parloa (e.g., Product, Forward Deployed Engineering or Sales) and the customer, including coordination with customer SAP teams and SAP partner engineers when required to unblock delivery Apply structured testing approaches to validate AI agent behaviour, quality, and performance under real-world conditions — with explicit coverage for integration-dependent paths common in SAP environments (partial responses, authorization failures, latency, and transactional correctness) Document best practices, how-to guides, and product capabilities for internal and external audiences, representing the expertise of the Agent Architect team
