• Work in the SAP SD module covering the entire Order-to-Cash process • Gather requirements from business areas and translate them into functional solutions • Perform configurations, adjustments and improvements in SAP SD • Provide L2 and L3 support with incident and problem analysis • Create functional specifications and support the ABAP technical team • Conduct unit, integration and UAT testing • Participate in implementation projects, rollouts, continuous improvement initiatives and migrations to SAP S/4HANA • Ensure efficient integration with other SAP modules such as FI, MM, WM and EWM • Mandatory technical knowledge: SAP SD (senior), sales organization structure, sales documents, item types and categories, pricing (procedures and conditions), account determination with FI integration, shipping/delivery and billing processes, messages and outputs, full sales cycle processes (Order-to-Cash), billing processes and accounting integration

Role Description As a 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. - Combine LLM and agent design (prompt engineering, conversational structure, quality, and operational readiness) with hands-on SAP integration literacy. - Design, prototype, validate, and refine conversational solutions and agent workflows that depend on SAP-backed use cases (e.g., order management, customer data, case management, and transactional queries). - Ensure 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. - Leverage knowledge of LLMs (e.g., embeddings) to analyze customer requirements and design precise prompts for reliable, user-aligned behavior. - Simplify complex workflows and processes into digestible conversational components. - 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. - Collaborate with Forward Deployed Engineers on complex or custom integration scenarios. - Identify and solve blockers together with other departments at Parloa and the customer. - 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. Qualifications - 4+ years in enterprise customer-facing roles with proven expertise in conversation design and AI agent development. - 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. - Solid understanding of SAP APIs and data access patterns across relevant surfaces. - Strong prompt engineering and LLM workflow design skills. - Analytical and structured communicator. - Proficiency with JSON/XML, API testing tools (e.g. Postman), and reading 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 commonly paired with SAP integrations (e.g., Microsoft Azure). - Kubernetes concepts, and/or TypeScript/Node.js tooling for integration-heavy delivery. - Git-based collaboration and CI/CD exposure. How You Will Work With Parloa Teams You will work as a technical delivery partner alongside Forward Deployed Engineering (including SAP integration specialists) on shared technical outcomes. You are expected to work on integration mechanics where they directly impact agent quality. - Configure, test, and iterate integration-connected agent capabilities. - Escalate to deeper platform engineering when the problem crosses into core product/runtime ownership. Our Recruiting Process - Talent Acquisition - Hiring Manager - Technical & Expert Interview(s) - Bar Raiser Company Description Parloa’s mission is to make every customer conversation feel effortless for both customers and the companies serving them. Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers.

• Act as a functional specialist in SAP MDG • Design, configure and implement Master Data Governance solutions • Lead end-to-end implementations (requirements gathering, blueprint, configuration, testing and go-live) • Configure data models, workflows, business rules (BRF+) and change/request types • Create and maintain approval flows and data governance rules • Ensure the quality, consistency and reliability of master data • Manage data transfer and integration between SAP and other systems • Define and implement governance processes and data policies • Integrate SAP MDG with S/4HANA, ECC and non-SAP systems • Support migration, data cleansing and data quality improvement initiatives • Work with tools such as DRF, Workflow and Fiori interfaces • Provide production support, troubleshooting and continuous improvements • Prepare functional and technical documentation • Support training and knowledge transfer for users and teams • Collaborate with Product Owners, architects, PMs and business areas • Ensure compliance with data standards and audit requirements.

• Advise clients on defining and implementing Application Lifecycle Management (ALM) processes and strategies using Jira, SAP Solution Manager and Cloud ALM • Analyze existing ALM landscapes and identify optimization opportunities across Jira, SAP Solution Manager and Cloud ALM environments • Support the selection and rollout of appropriate ALM tools and technologies, with a focus on Jira, SAP Solution Manager and Cloud ALM • Conduct trainings and workshops to transfer ALM knowledge to clients and team members, covering Jira, SAP Solution Manager and Cloud ALM functionality • Work closely with clients to understand their individual requirements and provide tailored solutions based on Jira, SAP Solution Manager and Cloud ALM • Continuously develop your own ALM expertise, particularly with regard to Jira, SAP Solution Manager and Cloud ALM