Lead Agent Architect – SAP

Role Overview

• 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

Requirements

• 4+ years in enterprise customer-facing roles with proven expertise in conversation design and AI agent development for implementation settings (not only concept work)
• 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
• Fluency in German and English is required

Tech Stack

• Cloud
• ERP
• SOAP

Benefits

• Parloa is committed to upholding the highest data protection standards
• 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.
• We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.