AI Engineering Practice Lead 80-100% (w/m/d)

Wüest Partner; Zürich; Hybrid; CHF 150,000 - 200,000; Full time

Benefits offered by this job

Flexible work from home

Training and development budget

Team events

Job summary

Datahouse AG in Zurich, Switzerland, seeks an AI Engineering Practice Lead (80-100%) to connect architecture with delivery and steer the technical direction of the WP‑group's AI products. You will lead the implementation of agentic systems, maintain standards for safety and performance, and collaborate with clients on scoping and pre‑sales.

You will stay hands-on while guiding a team of AI engineers, setting reference architectures, and ensuring production‑readiness across projects.

Qualifications

• 5+ years in software, data or ML engineering with hands-on experience building production AI systems.
• Experience leading engineers or teams in technical projects.

Responsibilities

• Lead the technical implementation of agentic systems across group-wide platform projects and client work.
• Set engineering standards for evaluation, security, cost and latency control.
• Mentor engineers, review designs and code, and raise the technical bar.

Skills

LLM engineering

Python

CI/CD

Leadership

APIs integration

Architectural design

Regulatory awareness

English communication

Tools

Docker

Kubernetes

AI toolchains

Job description

AI Engineering Practice Lead 80-100% (w/m/d)

• Full-time

Datahouse combines the two core competencies of Data Science and Software to deliver a unique service offering, bringing together a team of experts in data analytics, statistics, programming, databases and project management. Datahouse is a wholly owned subsidiary of the Wüest Partner Group.

The role

As AI Engineering Practice Lead, you connect architecture with delivery. Our AI Solution Architect shapes the technical direction of the WP-group's products, and our AI Engineers build the solutions. You lead the technical implementation of agentic systems, both in group-wide platform projects and in external client projects. You stay hands‑on and set the standard for the AI Engineering practice.

What you'll do

• Build group‑wide platform projects: work with the AI Solution Architect to design and build the shared AI foundations behind the Wüest Partner Group's products. That includes agent frameworks, tool and data integrations, evaluation pipelines and governance. You make sure they can be reused across companies and use cases.
• Lead agentic engineering in delivery: own the technical side of projects where AI agents plan, use tools and carry out multi‑step workflows. You see them through from design to production.
• Make agents production‑ready: set the standards for evaluation, guardrails, human‑in‑the‑loop design, security (permissions, prompt injection, etc.), cost and latency control.
• Set engineering standards: define reference architectures, reusable components and best practices across the AI engineers, including the right use of retrieval and context engineering.
• Lead engineers functionally: review designs and code, mentor engineers and raise the technical bar.
• Work with clients and the group: take part in scoping, effort estimates and technical pre‑sales, and explain trade‑offs (autonomy versus control, quality, cost, risk) in plain terms.
• Keep the practice current: assess new models, agent frameworks and protocols such as MCP, and decide what is ready for production.
• 5+ years in software, data or ML engineering, including significant hands‑on experience building LLM‑based systems in production
• Proven experience with agentic systems: tool and function calling, multi‑step and multi‑agent orchestration, state and memory management, and integration with APIs and enterprise systems
• A clear method for evaluating and testing non‑deterministic systems
• Solid understanding of retrieval and context engineering as building blocks, not an end in themselves
• Strong Python skills and very good software engineering practice (APIs, CI/CD, containers)
• Experience setting technical direction for others, as a tech lead, staff engineer or similar
• Awareness of data protection and regulatory requirements (Swiss nDSG, EU AI Act)
• Excellent English language skills; German is a plus

What we offer

• Attractive employment conditions
• Flexible Work Smart concept with the option to work from home
• A welcoming, professional and collaborative company culture with great events (company celebrations, croissant breaks, etc.)
• Strong team spirit, flat hierarchies and a varied range of responsibilities
• An attractive workplace in the heart of Zurich with modern facilities
• Generous training and development budget, including dedicated time for learning, as well as other attractive fringe benefits

We look forward to hearing from you!

Datahouse AG

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