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About the Role

As a Lead SAP Agent Architect, you will transform customer service with AI agents in enterprise SAP environments. This customer-facing role involves supporting implementations where Parloa’s conversational AI platform integrates with SAP data, processes, and integration constraints, from design through testing and go-live readiness. You will combine LLM and agent design expertise with SAP integration literacy to ensure safe and predictable interactions between Parloa agents and SAP systems, partnering with engineering teams to build, test, and deploy production-grade solutions.

Responsibilities

Design, prototype, validate, and refine conversational solutions and agent workflows dependent on SAP-backed use cases.
Ensure the integration layer between Parloa and SAP is accurately reflected in agent behavior, tools, and guardrails.
Scope and implement AI Agent deployments, providing strategic advice and execution support with a focus on SAP-backed systems and processes.
Leverage 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 for effective LLM handling.
Fine-tune conversational flows and voice output to align with customer brand standards.
Build and configure integrations between customer systems and Parloa’s platform via integration platforms and APIs.
Collaborate with Forward Deployed Engineers on complex or custom integration scenarios, including SAP-specific connectivity, authentication, and data-access patterns.
Identify and solve blockers with internal teams and customers, coordinating with customer SAP teams and SAP partner engineers when required.
Apply structured testing approaches to validate AI agent behavior, quality, and performance, with explicit coverage for integration-dependent paths common in SAP environments.
Document best practices, how-to guides, and product capabilities for internal and external audiences.

Requirements

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.
Solid understanding of SAP APIs and data access patterns across relevant surfaces: OData v2/v4, REST/SOAP, and authentication patterns including OAuth2 and SAP IAS/XSUAA.
Strong prompt engineering and LLM workflow design skills.
Analytical and structured communicator with 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.

Skills

Conversation design
AI agent development
LLM design
Prompt engineering
Conversational structure
Quality assurance
Operational readiness
SAP integration
SAP data
SAP processes
SAP APIs
OData v2/v4
REST/SOAP
OAuth2
SAP IAS/XSUAA
JSON
XML
API testing tools
Postman
SSML
Lexicons
Regex

Location

Work Type

Full-time

Experience Level

Lead
4+ years

About the Company

Parloa's mission is to make every customer conversation feel effortless for both customers and the companies serving them.
Parloa is shaping the foundation of a new era in customer experience with accelerating agentic AI.
Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers.
Companies like Booking.com, Allianz, SAP, BarmeniaGothaer and TUI already deploy Parloa at scale.
Parloa is committed to upholding the highest data protection standards for our clients' and employees' data.
All 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.

Equal Opportunity

We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.