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Parloa

Conversations AI platform for enterprise CX

SAP Integration Architect

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-time$170k - $200k /yr

About the Job

Requirements

  • At least 5 years of hands-on experience in SAP integration development and architecture, including technical consulting and delivering scalable integrations in live enterprise environments.
  • Strong hands-on experience with SAP BTP Integration Suite, including analyzing and applying standard integration packages and designing, building, and operating end-to-end custom solutions across SAP Integration Suite services such as SAP CI, Event Mesh, API Management, and Open Connectors.
  • Firsthand field experience with SAP's AI stack, such as SAP AI Core, SAP AI Launchpad, or SAP Joule, and interoperability standards such as MCP.
  • Foundational SAP ABAP knowledge and solid Groovy scripting skills.
  • Experience guiding enterprise customers, partners, or systems integrators through solution discovery, architecture discussions, or implementation trade-offs.
  • Project and stakeholder management skills, including meeting milestones and communicating effectively.
  • Ability to travel and be on-site with customers and partners on demand for key moments such as discovery workshops, architecture reviews, and go-lives.

Responsibilities

  • Design and architect SAP integration and orchestration solutions across Parloa's AI platform, cloud and on-premise SAP estates, and non-SAP applications around the digital SAP core.
  • Deliver across the full project lifecycle by driving discovery, build, test, and go-live through implementation of integrations and automation workflows in cloud-native and hybrid environments, using SAP BTP platforms such as Integration Suite, SAP CI, Event Mesh, API Management, Integration Advisor, and Open Connectors, as well as legacy enterprise service buses such as SAP PI/PO.
  • Apply hands-on knowledge of SAP OData and REST APIs, SOAP web services, RFCs/BAPIs, and ALE/IDocs, including extensibility, monitoring, troubleshooting, connectivity configuration, and performance tuning.
  • Use foundational SAP Business AI knowledge and components such as SAP AI Core, SAP AI Launchpad, and SAP Joule agents and skills to support AI-powered integration scenarios and extensibility.
  • Run discovery workshops and architecture discussions as the trusted SAP integration expert when needed.
  • Work with Parloa's Agent Architects and FDEs, providing technical guidance and enablement to non-SAP team members.
  • Turn field experience and lessons learned into accelerators, reference architectures, and playbooks that improve delivery repeatability.
  • Build and deploy Parloa's global SAP delivery practice, including creating reference architectures, accelerators, best practices, and playbooks.

Desired Qualifications

  • Exposure to large language models and conversational design to craft effective prompts that align with desired outcomes.
  • Exposure to customer contact center technologies, telephony, and enterprise CX platforms.
  • Familiarity with SAP architecture frameworks such as Clean Core, ISA-M, and the Extensibility Framework.
  • Familiarity with SAP CX and CRM solutions such as SAP Service Cloud and SAP Sales Cloud.
  • Experience developing extensions on SAP BTP using CAP.
  • Experience integrating non-SAP ERP systems such as MS Dynamics 365 and Oracle NetSuite, and CRM/HCM systems such as Salesforce, Workday, and ServiceNow.
  • Foundational knowledge of a cloud platform such as AWS, Azure, or GCP, and Kubernetes; programming experience in Python, SQL, or TypeScript/Node.js.
  • Foundational knowledge of SAP data and analytics, including SAP BW/4HANA, SAP Datasphere, and SAP Analytics Cloud.
  • Experience working with or for SAP system integrators or within the broader SAP partner ecosystem.
  • Experience operating in fast-paced startup or high-growth enterprise software environments.

About the Company

Parloa

Conversations AI platform for enterprise CX

Parloa builds an AI Agent Management Platform for enterprise customer experience across voice, chat, and messaging. The platform lets organizations design, deploy, and manage AI-powered conversational agents and route interactions, integrating with CRM/CCaaS systems. It coordinates multi-channel conversations through a centralized management layer, enabling training, testing, and deployment with data flows to human agents when needed. Its goal is to help large enterprises deliver consistent, scalable customer experiences by connecting AI agents with existing enterprise data and workflows.

Company size
501-1,000
Company stage
Series D
Total funding
$564.3M
Headquarters
Berlin, Germany
Founded
2017

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