AI Architect

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

About the Role

We are looking for an AI Architect to lead the design and implementation of our enterprise AI foundation.

This role is responsible for building the architecture, standards, and reusable capabilities that enable AI adoption across the organisation. Rather than focusing on individual AI solutions, you will create the platforms, patterns, and governance that allow business teams to develop secure, scalable, and production-ready AI applications.

During the initial phase, you will combine architecture with hands‑on implementation, helping establish our AI ecosystem while validating architectural decisions through real‑world delivery. As our AI capability matures, your focus will progressively shift toward governance, standardisation, and enterprise enablement.

Responsibilities

Enterprise AI Architecture

• Design and evolve the enterprise AI Reference Architecture.
• Build reusable AI patterns, including RAG, AI agents, orchestration, and enterprise integrations.
• Define architecture standards, governance principles, and vendor-independent AI capabilities.

AI Platforms & Data

• Design and implement enterprise AI platforms (Azure OpenAI Foundry, Amazon Bedrock, or equivalent).
• Develop secure AI data access, knowledge retrieval, and MCP‑based integration services.
• Collaborate with Data Governance to ensure quality, security, and compliance.

Security & Governance

• Define secure, compliant AI architectures aligned with GDPR and the EU AI Act.
• Establish governance models, risk controls, and AI technology standards.

Business Enablement

• Advise business and IT teams on AI architecture and best practices.
• Create reusable design patterns, documentation, and enable AI adoption across the organisation.

Required

• Bachelor's degree in Computer Science, Information Technology, Engineering, or equivalent experience.
• Proven experience designing and delivering enterprise AI architectures in production environments.
• Hands‑on experience with Large Language Models (LLMs), AI agents, and orchestration frameworks.
• Strong knowledge of Retrieval‑Augmented Generation (RAG), vector databases, and enterprise knowledge retrieval.
• Experience designing API‑first and event‑driven architectures.
• Understanding of enterprise platforms such as ERP, CRM, PLM, and document management systems.
• Knowledge of AI governance, security, GDPR, auditability, and responsible AI.
• Excellent communication and stakeholder management skills.

Preferred

• Azure OpenAI Foundry, Microsoft Azure AI, Amazon Bedrock, or similar enterprise AI platforms.
• Experience with SAP Business AI, Joule, or SAP ecosystem integration.
• Knowledge of the EU AI Act.
• Experience within manufacturing, industrial, engineering, or logistics organisations.

Why Join Us?

You will have the opportunity to shape the AI strategy and technical foundation of a global organisation. Your work will influence every future AI initiative by creating the platforms, standards, and architecture that enable innovation at scale.

If you are passionate about enterprise AI, modern architecture, and building solutions that create lasting business impact, we'd love to hear from you.