AI SEAL (AI Solutions Engineer) Integration, Data & Analytics

Position Overview The AI SEAL connects ERP, Salesforce, and knowledge sources into governed AI capabilities while owning critical data-quality and integration risks for AI-enabled business processes.  The role builds production AI capabilities through the dormakaba AI Platform and ensures that data, integration, grounding, observability, and access-control requirements are met  The AI SEAL works across Integration, Data & Analytics, agent orchestration, tool use, evaluation harnesses, observability, SAP Datasphere, Salesforce Data Cloud, BTP integration, event streaming, Azure AI Search, and modern data tooling.  The function partners with the AI Champion, AI CoE, AI Platform, MDM, Data & Analytics, security, integration, SAP, Salesforce, and SI teams to deliver reliable cross-platform AI use cases and measurable business value.  What you will do Cross-Platform Integration & AI Orchestration  Connect SAP, Salesforce, data, and knowledge islands through governed connectors and platform-mediated tools.  Build production LLM capabilities including RAG, agent orchestration, tool use, evaluation harnesses, and observability.  Design integrations through the AI platform / orchestration layer and tool gateway with clear contracts and validation.  Knowledge Indexing & Retrieval  Index approved knowledge sources into Azure AI Search or equivalent enterprise search services.  Expose richer typed tools such as full document, section reads, and filtered queries rather than unmanaged document search patterns.  Preserve source permissions, security trimming, citations, and audit evidence in retrieval and grounding flows.  Data Engineering & Master Data Quality  Scope and run data-quality remediation with MDM and Data & Analytics teams for AI-critical data domains.  Design and monitor data pipelines, semantic layers, and integration patterns needed for accurate AI outputs.  Translate data-quality risks into transparent remediation plans, owners, and measurable acceptance criteria.  Analytics & BI  Design and maintain semantic models, business KPIs, and analytical data products to support AI-enabled business processes and data-driven decision making.  Develop dashboards, reports, and self-service analytics solutions using SAP BI.  Collaborate with business stakeholders to translate analytical requirements into scalable reporting and visualization solutions.  Ensure consistent KPI definitions, data lineage, and governance across AI, analytics, and operational reporting environments.  Leverage SAP BDC, Salesforce Data Cloud, and other enterprise data platforms to create trusted analytical datasets and business insights.  Apply advanced analytics techniques to identify trends, anomalies, process bottlenecks, and optimization opportunities.  Support AI use cases with feature engineering, analytical data preparation, and performance measurement frameworks.  …