AI Architect
Summary
Design and deploy AI systems for automotive retail workflows, integrating SAP, CRM, and DMS data to automate document processing, compliance, and customer service.
Key Responsibilities
- The AI Architect will identify and prioritise practical AI use cases.
- Design dashboards and exception reporting models.
- Integrate data across SAP, Keyloop DMS, CRM, and HR systems.
- Develop AI‑enabled workflows and agents for document processing, approvals, compliance checks, customer service, parts intelligence, and operational monitoring.
- Apply a strong governance lens ensuring AI solutions incorporate controls for data privacy, cybersecurity, auditability, and PDPL compliance.
- Work in a data‑complex environment with fragmented systems and variable data quality, requiring disciplined integration, reconciliation, and pragmatic solution design.
Qualifications
- Deep technical capability combined with strong commercial and operational understanding.
- Experience in automotive, retail, distribution, or similarly complex environments, especially with SAP or automotive DMS platforms.
- A proven record of delivering production AI, automation, or analytics solutions adopted by business users.
- Experience in enterprise automation, AI governance, or controlled AI deployment environments.
- Familiarity with automotive retail processes such as new and used vehicles, aftersales, warranty, parts, inventory, and OEM reporting, along with the ability to rapidly acquire domain expertise.
- Effectiveness in technical architecture discussions and executive stakeholder engagement, delivering scalable AI solutions embedded into day‑to‑day operations.