About the role
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 • Solution Engineering: Design, implement, and deploy pragmatic AI solutions (ML, LLMs, Generative AI) tailored to specific client business needs. • Technical Consulting: Act as a technical advisor to client stakeholders, translating business requirements into scalable technical architectures and guiding them on AI best practices. • Prototyping & Production: Build and test Proof of Concepts (PoCs) and transition them into production-ready environments, ensuring security, performance, and maintainability. • Architecture & Infrastructure: Design robust AI infrastructure using cloud-native services (AWS, Azure, or GCP) and modern data pipelines. • Collaboration: Work within cross-functional teams (Data Scientists, Project Managers, and Strategy Consultants) to ensure the technical feasibility of AI initiatives. • Mentorship: Lead project workstreams and mentor junior engineers on technical best practices, MLOps, and coding standards.
Technical Requirements • Experience: 5+ years in Software Engineering, Data Science, or AI/ML development. • Core Programming: Mastery of Python and SQL; familiarity with other languages (Java, C++, or Node.js) is a plus. • AI/ML Frameworks: Deep experience with TensorFlow, PyTorch, or HuggingFace. • Generative AI: Hands-on experience with LLMs, prompt engineering, fine-tuning, and vector embeddings. • Cloud Platforms: Proven experience deploying AI solutions on AWS, GCP, or Azure. • Tools & DevOps: Proficiency with Git, Docker, Kubernetes, and MLOps principles (CI/CD for machine learning). • Data Engineering: Ability to build and manage ETL/ELT pipelines and work with various database schemas (SQL, NoSQL, Graph).
Qualifications & Soft Skills • Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related STEM field. • Communication: Fluency in English and the local regional language (German or French). Ability to explain complex technical concepts to non-technical business leaders. • Mindset: A "builder’s mindset" with the agility to work in a fast-paced, client-facing consulting environment. • Consulting Experience: Prior experience in a professional services or consulting firm is highly preferred.
What to Expect • Impactful work on global accounts (e.g., Warner Bros, Orange, L'Oréal). • A collaborative "scale-up" environment with a heavy focus on continuous learning and a dedicated training budget. • Opportunity to lead high-visibility projects within the first year.
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