Senior AI/ML Engineer

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 Romandie office (Geneva/Lausanne) 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.

What you will be doing?

We are looking for a Senior AI Engineer / Technical Consultant to bridge the gap between high-level strategy and technical execution. You will act as a "builder first, consultant second," designing and deploying AI/ML solutions that solve complex business problems for global clients. This role involves end-to-end technical leadership, from initial rapid prototyping (PoCs) to scaling production-ready systems.

Key Responsibilities

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Solution Engineering: Design, implement, and deploy pragmatic AI solutions (ML, LLMs, Generative AI) tailored to specific client business needs.

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Technical Consulting: Act as a technical advisor to client stakeholders, translating business requirements into scalable technical architectures and guiding them on AI best practices.

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Prototyping & Production: Build and test Proof of Concepts (PoCs) and transition them into production-ready environments, ensuring security, performance, and maintainability.

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Architecture & Infrastructure: Design robust AI infrastructure using cloud-native services (AWS, Azure, or GCP) and modern data pipelines.

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Collaboration: Work within cross-functional teams (Data Scientists, Project Managers, and Strategy Consultants) to ensure the technical feasibility of AI initiatives.

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Mentorship: Lead project workstreams and mentor junior engineers on technical best practices, MLOps, and coding standards.

Technical Requirements

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• Experience: 5+ years in Software Engineering, Data Science, or AI/ML development.
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• Core Programming: Mastery of Python and SQL ; familiarity with other languages (Java, C++, or Node.js) is a plus.
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• AI/ML Frameworks: Deep experience with TensorFlow, PyTorch, or HuggingFace .
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• Generative AI: Hands-on experience with LLMs , prompt engineering, fine-tuning, and vector embeddings.
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• Cloud Platforms: Proven experience deploying AI solutions on AWS, GCP, or Azure .
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• Tools & DevOps: Proficiency with Git, Docker, Kubernetes, and MLOps principles (CI/CD for machine learning).
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• Data Engineering: Ability to build and manage ETL/ELT pipelines and work with various database schemas (SQL, NoSQL, Graph).
• Qualifications & Soft Skills
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• Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related STEM field.
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• Communication: Fluency in English and the local regional language ( German or French ). Ability to explain complex technical concepts to non-technical business leaders.
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• Mindset: A "builder’s mindset" with the agility to work in a fast-paced, client-facing consulting environment.
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• Consulting Experience: Prior experience in a professional services or consulting firm is highly preferred.

What to Expect

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• Impactful work on global accounts (e.g., Warner Bros, Orange, L'Oréal).
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• A collaborative "scale-up" environment with a heavy focus on continuous learning and a dedicated training budget.
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• Opportunity to lead high-visibility projects within the first year.