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SAP Agent Architect

PParloa
Seniority
Midweight
Model
Remote
Sector
AI-native
Salary
Undisclosed
Contract
Full-Time

About the role

As a SAP Agent Architect at Parloa, you will help transform customer service with AI agents in enterprise SAP environments. You combine LLM and agent design with hands-on SAP integration literacy, partnering with Forward Deployed Engineering and customer SAP teams to design, prototype, validate, and refine conversational solutions that depend on SAP-backed use cases.

What you'll do

  • Scope and implement AI Agent deployments with strategic advice and execution support, focusing on programs where SAP-backed systems and processes are in scope
  • Analyze customer requirements and design precise prompts for reliable, user-aligned behavior using your knowledge of LLMs
  • Simplify complex workflows into digestible conversational components, enabling LLMs to handle challenging tasks effectively
  • Fine-tune conversational flows and voice output to align with customer brand standards
  • Build and configure integrations between customers' systems and Parloa's platform via APIs and integration platforms
  • Collaborate with Forward Deployed Engineers on complex integration scenarios, including SAP-specific connectivity and data-access patterns
  • 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

What you'll need

  • 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 across SAP BTP, S/4HANA, ECC, Service Cloud, and CRM
  • Solid understanding of SAP APIs and data access patterns: OData v2/v4, REST/SOAP, OAuth2, and SAP IAS/XSUAA
  • Strong prompt engineering and LLM workflow design skills
  • Proficiency with JSON/XML, API testing tools, and enterprise API documentation

Nice to have

  • Experience working with or for SAP system integrators in delivery or presales-adjacent engineering roles
  • Familiarity with cloud landing zones, Kubernetes concepts, and/or TypeScript/Node.js tooling
  • Git-based collaboration and CI/CD exposure

What they offer

  • Customer-facing technical delivery role with Forward Deployed Engineering teams
  • Work on enterprise-scale AI agent implementations across global brands
  • Commitment to data protection, GDPR, and ISO 27001 compliance standards
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