Senior AI Engineer / Technical Consultant
Artefactlinkedin - Lausanne, Vaud - Global - Engineering & Technical
<h2 data-start="107" data-end="126">Who is Artefact?</h2>
<p data-start="127" data-end="406">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.</p>
<p data-start="408" data-end="795">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.</p>
<h2 data-start="797" data-end="821">Main Responsibilities</h2>
<p data-start="822" data-end="1096">As a <strong data-start="827" data-end="879">Senior Technical Consultant / Senior AI Engineer</strong>, you will lead the design and delivery of impactful AI and data solutions. You’ll combine hands-on engineering with client advisory, guiding multi-disciplinary teams from opportunity framing to production deployment.</p>
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<p data-start="1100" data-end="1326"><strong data-start="1100" data-end="1141">Own solution architecture & delivery:</strong> Define end-to-end architectures (data, ML/LLM, APIs, security), make build/buy decisions, and drive projects from PoC to production with reliability, observability, and cost in mind.</p>
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<p data-start="1329" data-end="1512"><strong data-start="1329" data-end="1360">Lead complex PoCs & pilots:</strong> Scope, prototype, and validate AI/ML use cases (incl. LLMs/GenAI, RAG, fine-tuning, evaluation) and convert successful pilots into scalable products.</p>
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<p data-start="1515" data-end="1754"><strong data-start="1515" data-end="1551">Advanced programming & modeling:</strong> Build, adapt, and evaluate ML/DL/LLM models using Python (PyTorch, TensorFlow, HuggingFace, LangChain/LlamaIndex), including prompt engineering, fine-tuning/LoRA, vector search, and safety/guardrails.</p>
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<p data-start="1757" data-end="1927"><strong data-start="1757
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