Enterprise AI Architect: Build Scalable Platforms & Governance

Interroll Group; Sant'Antonino; On-site; CHF 160,000 - 230,000; Full time

Job summary

Interroll Group is seeking an AI Architect to lead the design and implementation of our enterprise AI foundation. You will create platforms, patterns, and governance enabling secure, scalable, production-ready AI across the organisation.

Initially you will combine architecture with hands-on delivery, validating decisions through real-world projects, then shift toward governance, standardisation, and enterprise enablement to empower business teams across manufacturing and logistics sectors.

Qualifications

• Bachelor's degree in CS/IT/Engineering is required.
• Proven experience designing and delivering enterprise AI architectures in production environments.
• Hands-on experience with LLMs, AI agents, and orchestration frameworks.
• Strong knowledge of RAG, vector databases, and enterprise knowledge retrieval.
• Experience designing API-first and event-driven architectures.
• Understanding of ERP, CRM, and PLM systems in enterprise contexts.
• Knowledge of AI governance, GDPR, auditability, and responsible AI.
• Excellent communication and stakeholder management skills.

Responsibilities

• Design and evolve the enterprise AI Reference Architecture.
• Build reusable AI patterns and enterprise integrations.
• Define standards, governance principles, and vendor-agnostic capabilities.
• Design enterprise AI platforms and secure data access.
• Advise business and IT teams on AI architecture and best practices.

Skills

LLMs

AI agents

Orchestration

RAG

Vector databases

Knowledge retrieval

API-first architectures

Event-driven architectures

Stakeholder management

GDPR compliance

Education

Bachelor's degree in Computer Science / Information Technology / Engineering

Tools

ERP

CRM

PLM

Job description

Interroll Group is seeking an AI Architect to lead the design and implementation of our enterprise AI foundation. You will create platforms, patterns, and governance enabling secure, scalable, production-ready AI across the organisation.

Initially you will combine architecture with hands-on delivery, validating decisions through real-world projects, then shift toward governance, standardisation, and enterprise enablement to empower business teams across manufacturing and logistics sectors.