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 thedormakabaAI Platform and ensures that data integration grounding observability and access-control requirements are met

The AI SEAL works acrossIntegration Data & Analyticsagent 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 AICoE 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 andknowledgeislands 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 foraccurateAI outputs.
• Translate data-quality risks into transparent remediation plans owners and measurable acceptance criteria.
• Analytics & BI
• Design andmaintainsemantic models business KPIs and analyticaldata products to support AI-enabled business processes and data-driven decision making.
• Develop dashboards reports and self-service analytics solutions usingSAP 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 SAPBDC Salesforce Data Cloud and other enterprise data platforms to create trusted analytical datasets and business insights.
• Apply advanced analytics techniques toidentifytrends anomalies process bottlenecks and optimization opportunities.
• Support AI use cases with feature engineering analytical data preparation and performance measurement frameworks.
• Establishmonitoring and reporting for data quality business process effectiveness AI adoption and value realization metrics.
• Drive data democratization by promoting self-service analytics data literacy and governed access to business intelligence assets.
• Tooling Actions & Security
• Implement multi-system tools and actions with JSON-Schema validation OAuth / enterprise authorization ACL enforcement and human-in-the-loop approval for sensitive writes.
• Design action tiering for read-onlyassistedwrite approvedwrite and high-risk actions.
• Test for prompt injection data leakage grounding failures and regression issues before production release.
• Analytics Telemetry & Value Measurement
• Instrument AI solutions with telemetry accuracy monitoring adoption measurement and performance metrics.
• Support value tracking through productivityfinancial impact time-to-value data quality andadoptionKPIs.
• Provide analytics and evidence to support business-case validation and continuous improvement.
• Governance Quality & Compliance
• Ensure solutions pass design security operational-readiness publish and change-control gates.
• Apply AICoEstandards security privacy and regulatory requirements across data and integration layers.
• Maintainevaluation suites golden prompts grounding evidence and operational documentation.

What we require

• Minimum5yearsworkingacross integration architecture analytics or data engineering and applied AI
• Production experience with RAG agent orchestration tool use evaluation harnesses telemetry and observability
• Experience with multi-system data integration such as SAP Datasphere Salesforce Data Cloud BTP integration APIs and event streaming
• Strong practical experience indata data quality and data remediation in complex enterprise environments
• Hands-on experience with modern data and AI tooling and evaluation frameworks isadvantageous
• Strong data engineering and integration skills across enterprise platforms
• Ability to build governed AI tools retrieval flows and cross-system automation patterns
• Experience with RAG agent orchestration evaluation observability and production AI quality controls
• Ability to translate data-quality and integration risks into executable remediation plans
• Ability tooperateas senior technical contributor linking data integration analytics and AI teams
• Experience guiding cross-functional teams on data readiness integration choices and production-quality AI delivery
• Ability to influence without authority and make risks transparent to product owners and programme leadership
• Strong communicationof complex technical dependencies in business-relevant language
• Analytical structured hands-on quality-oriented security-conscious pragmatic collaborative resilient under pressure and motivated by measurable business outcomes and reliable production delivery.
• English - Business fluency
  
  

What we prefer

• Understanding of identity ACLs source security trimming OAuth validation and data privacy
• Knowledge of SAP Datasphere SAP Build SAP AI Core or AI-assisted SAP development patterns
• Experience with Azure AI Copilot Studio Power Platform or comparable AI/platform services
• Data quality MDM and process mining experience e.g. Signavio isadvantageous
• German - Colloquial knowledge (not mandatory)

What we offer

• Best opportunities in a globally operating company valuing diversity inclusion sustainability and mutual trust
• Home office allowance
• 25 days paid annual leave
• Additional health insurance
• 102.26 EUR Food vouchers
• Public transportation card
• Multisport /Coolfitcard
• Opportunity for flexibility with a hybrid working model
• Employee Assistance Program (Mental Health Legal & Financial Counselling)
• Language training opportunity
• Brand new modern office premises in a class A Business building
• Employee referral program
• Fresh fruits in the office
• Training and mentorship programs
• Access to over 15000 LinkedIn Learning courses to assist in your development

Who we are

We are at the heart of every place that matters. From automatic doors to cloud-based access management as a leading global provider in the access solutions market for schools banks airports hospitals hotels and many more we enable seamless movement within secure safe and sustainable places. With over 160 years of experience and a focus on excellence and innovation we offer exciting opportunities to grow in an environment where you can make a real impact. At dormakaba you are encouraged to take initiative develop your skills and build your career alongside 16000 experts worldwide who are setting industry standards every day.

Work in a place where you matter apply now!