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Enterprise Architect – GenAI & Automation in Amsterdam
- Enterprise Architect
- Amsterdam
- 19-03-2026
Over de functie
Job Title: Enterprise Architect – GenAI & Automation
Location: Amsterdam, Netherlands
Experience: 10+ Years
Duration: 6 Months
Start Date: ASAP
Role Overview:
We are looking for an experienced Enterprise Architect with strong expertise in GenAI, LLMs, and intelligent automation. The role focuses on designing and delivering AI-driven solutions across SAP and infrastructure environments, while bridging business needs with automation opportunities.
Key Responsibilities:
Design and implement LLM-based solutions such as AI agents, chatbots, copilots, workflow assistants, and decision engines.
Build end-to-end RAG pipelines integrating enterprise data with SAP and infrastructure systems.
Evaluate, train, and fine-tune LLMs for enterprise use cases.
Develop intelligent automation frameworks using APIs, BPA tools, and LLM-based reasoning.
Work with business stakeholders to identify process gaps, pain points, and AI-led automation opportunities.
Integrate AI solutions with SAP modules, SAP BTP automation components, infrastructure systems, monitoring tools, and ITSM platforms.
Deliver use cases such as predictive maintenance, intelligent ticketing, anomaly detection, and proactive issue resolution.
Own the full lifecycle of AI and automation initiatives from PoC to production.
Create dashboards and reports to measure ROI, effort savings, ticket reduction, and productivity improvements.
Required Skills:
Strong hands-on experience with GenAI and Large Language Models (LLMs).
Proven experience building RAG pipelines and knowledge-grounded AI systems.
Expertise in designing AI agents, copilots, and automation frameworks.
Good understanding of automation tools such as UiPath, Automation Anywhere, Power Automate, and SAP BTP Automation.
Experience with API integration and enterprise system connectivity.
Strong understanding of SAP landscapes and infrastructure operations.
Ability to engage with business, AMS, and IMS teams to define and deliver automation solutions.
Good to Have:
Experience in enterprise architecture for AI-led transformation.
Exposure to KPI dashboards, reporting frameworks, and scalable AI solution design.
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