AI Engineering Practice Lead — Remote & Growth-Ready

Datahouse AG; Zürich; Hybrid; CHF 180,000 - 240,000; Full time

Benefits offered by this job

Flexible Work Smart concept with home/

Training and development budget

Zurich office in central location

Job summary

Datahouse AG in Zürich is seeking an AI Engineering Practice Lead to connect architecture with delivery. You will steer the technical direction of the group’s AI products and lead the implementation of agentic systems, staying hands-on and setting the engineering standards.

You will mentor engineers, review designs, and collaborate with clients on scoping, estimates and technical pre-sales while ensuring production readiness and compliance with data protection regulations.

Qualifications

• 5+ years in software, data or ML engineering.
• Proven experience with agentic systems and orchestration.
• Clear method for evaluating non-deterministic systems.
• Strong retrieval and context engineering knowledge.
• Strong Python and software engineering practices (APIs, CI/CD, containers).
• Experience leading technical direction (tech lead, staff engineer).
• Awareness of data protection and regulatory requirements (Swiss nDSG, EU AI Act).
• Excellent English; German is a plus.

Responsibilities

• Build group-wide AI foundations and reusable components.
• Lead agentic engineering in delivery from design to production.
• Set standards for evaluation, guardrails, and cost control.
• Define reference architectures and best practices across AI engineers.
• Mentor engineers, review designs and code.

Skills

LLM-based systems

Agentic systems

Python

APIs

CI/CD

Containers

Technical leadership

Data protection & regulation

English (excellent)

German (nice to have)

Tools

APIs

CI/CD

Containers

Job description

Datahouse AG in Zürich is seeking an AI Engineering Practice Lead to connect architecture with delivery. You will steer the technical direction of the group’s AI products and lead the implementation of agentic systems, staying hands-on and setting the engineering standards.

You will mentor engineers, review designs, and collaborate with clients on scoping, estimates and technical pre-sales while ensuring production readiness and compliance with data protection regulations.