AI Engineer / Technical Consultant

Who is Artefact?

Artefact is a next-generation strategy and data consulting firm dedicated to transforming organizations through data and AI. We combine the rigor of top-tier strategy consulting with deep expertise in data, digital, and analytics to help clients achieve tangible business impact.

With 1,800+ consultants, data scientists, and engineers across 23 countries, we work with global leaders such as Samsung, L’Oréal, Orange, and Sanofi. Our Zurich office is at the heart of Artefact’s growth, advising clients on their most pressing strategic challenges — from AI strategy and governance to digital transformation roadmaps and new business model design.

Main Responsibilities

As a Technical Consultant / AI Engineer, you will be a hands-on builder: prototyping, testing, and deploying AI and data solutions for clients. Unlike a generalist consultant role, this position is for someone who enjoys coding, experimenting with new models, and getting PoCs into production. You’ll be part of multi-disciplinary teams and work directly with client stakeholders to transform their ideas into running solutions. You will:

• Build & Deploy PoCs: Design and implement proof-of-concepts and prototypes for AI/ML use cases (incl. LLMs and Generative AI), demonstrating feasibility and business impact.

• Programming & Modeling: Develop and fine-tune machine learning and deep learning models using frameworks such as TensorFlow, PyTorch, or HuggingFace.

• Cloud Engineering: Build and run solutions on Azure, GCP, or AWS — from data pipelines to deployed AI services.

• Solution Architecture Support: Contribute to architecture design for scalable AI solutions, ensuring security, performance, and maintainability.

• Client Collaboration: Work with clients’ business and IT teams to translate requirements into technical designs, explain feasibility, and guide them on best practices.

• Continuous Innovation: Stay ahead of the curve on AI/ML (especially LLMs, MLOps, cloud-native AI services) and bring these into client engagements.

Candidate Profile

We are looking for an engineer first, consultant second – someone with a builder’s mindset and the ability to thrive in a consulting setting.

• Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field.

• Programming: Strong skills in Python (other languages such as SQL, Java, or C++ a plus).

• AI/ML: Hands-on experience with machine learning, deep learning, and LLMs (fine-tuning, prompt engineering, embeddings).

• Cloud: Familiarity with Azure, GCP, or AWS for deploying AI solutions (must have worked with at least one).

• Tools & Frameworks: Exposure to MLOps, APIs, Git, containerization (Docker/Kubernetes) is highly valued.

• Languages: Fluency in German and English (both written and spoken) is mandatory; French is a strong plus.

• Work Eligibility: You must be eligible to work in Switzerland.

Why Join Us

• Strategy with a Data Edge: Artefact is not a traditional strategy consultancy nor a pure tech player — we sit uniquely at the crossroads, giving you the chance to build boardroom-level strategy expertise while being at the forefront of AI and digital transformation.

• Zurich Office Impact: As part of a growing Swiss team, you will have visibility and impact from day one. You will help shape Artefact’s footprint in the region and work directly with senior leadership.

• Learning & Growth: Regular training in both strategy consulting methodologies and AI/data capabilities, combined with international exposure.

• Culture of Doers: Innovation, Action, Collaboration. We are entrepreneurial, fast-moving, and committed to delivering impact — while supporting each other’s growth.

This position is based in Zurich.

Don’t worry if you don’t meet all the criteria! We value motivation and potential above all else. We’d love to hear from you and learn more about your passion for generative AI.