Data & AI Platform Architect — Lead GenAI & Cloud

Zühlke Group; Schlieren; Hybrid; CHF 180,000 - 240,000; Full time

Benefits offered by this job

Work life balance

Profit sharing

Global Zühlke community

Professional development

Job summary

Zühlke Group is seeking a Lead Data & AI Architect to design and deliver data and AI platforms that underlie advanced applications from analytics to GenAI. You will align architectural choices with client needs, guide your team, and ensure secure, scalable solutions across cloud and on‑prem environments.

You bring deep data/AI expertise, DataOps/MLOps experience, and strong German and English communication.

Qualifications

• Technical degree in Computer Science, Mathematics, or related field.
• Fluent German and English communication is essential.
• Extensive experience architecting data and AI platforms across cloud and on‑prem environments.
• Strong DevOps/DataOps/MLOps mindset with production ML enablement.
• Proven ability to lead teams and influence stakeholders.

Responsibilities

• Design sophisticated data & AI architectures and drive implementation with your team.
• Showcase data mesh, data security, governance and scalable pipelines.
• Create production‑ready ML/GenAI capabilities across cloud providers (AWS, Azure, GCP).
• Lead data engineering efforts and ensure data structures support AI readiness.
• Promote thought leadership, pre‑sales support, and coaching of junior colleagues.

Skills

AI & data platforms

stakeholder communication

leadership

DevOps mindset

team collaboration

Education

Bachelor's/Master's in Computer Science or Mathematics

Tools

Python

Spark

Iceberg

Delta Lake

dbt

Kafka

Databricks

Microsoft Fabric

Foundry

Amazon SageMaker

Snowflake

GenAI tooling (vector stores & agent frameworks)

Job description

Zühlke Group is seeking a Lead Data & AI Architect to design and deliver data and AI platforms that underlie advanced applications from analytics to GenAI. You will align architectural choices with client needs, guide your team, and ensure secure, scalable solutions across cloud and on‑prem environments.

You bring deep data/AI expertise, DataOps/MLOps experience, and strong German and English communication.