Senior AI Engineer / Technical Consultant

ph3Who is Artefact? /h3 pArtefact is a next-generation strategy and data consulting firm dedicated to transforming organizations through data and AI. /p pWe combine the rigor of top-tier strategy consulting with deep expertise in data, digital, and analytics to help clients achieve tangible business impact. /p pWith 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 h3Main Responsibilities /h3 pAs a bSenior Technical Consultant / Senior AI Engineer /b, 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 ul liOwn solution architecture delivery: 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. /li liLead complex PoCs pilots: Scope, prototype, and validate AI/ML use cases (incl. LLMs/GenAI, RAG, fine‑tuning, evaluation) and convert successful pilots into scalable products. /li liAdvanced programming modeling: 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. /li liCloud MLOps/LLMOps: Design and operate solutions on Azure, GCP, or AWS (CI/CD, containers, model serving, feature stores, vector DBs, monitoring, eval pipelines). /li liClient advisory stakeholder management: Translate business goals into technical roadmaps, present to senior stakeholders, manage risks and trade‑offs, and ensure measurable business impact. /li liQuality, security governance: Enforce best practices on data privacy, model risk management, responsible AI, and documentation. /li liTeam leadership mentoring: Coach engineers/consultants, perform code and design reviews, and help shape delivery standards and reusable accelerators. /li liPre‑sales thought leadership: Support proposals, estimates, and statements of work; contribute to assets, talks, and publications that advance Artefact’s AI offering. /li /ul h3Candidate Profile /h3 ul liExperience: 5–8+ years in data/ML/AI engineering or adjacent roles, including end‑to‑end delivery of production AI systems (not just prototypes). /li liProgramming: Expert Python; solid software engineering (testing, packaging, CI/CD). SQL required; Java/Scala/TypeScript a plus. /li liAI/ML: Hands‑on with ML/DL and LLMs (prompting, fine‑tuning/LoRA, embeddings/RAG, evaluation observability, guardrails). /li liCloud: Deep experience on at least one major cloud (Azure, GCP, or AWS) deploying secure, scalable services. /li liMLOps/LLMOps: Containers (Docker/Kubernetes), Git, pipelines (e.g., GitHub Actions/Cloud‑native), model serving (FastAPI/TorchServe/Triton), experiment tracking, model registry, vector DBs (FAISS, Pinecone, pgvector, OpenSearch). /li liArchitecture data: Designing data/ML platforms, APIs, microservices; familiarity with data pipelines and streaming is valued. /li liConsulting skills: Requirements gathering, storytelling, senior stakeholder management, and clear documentation. /li liLanguages: Fluency in French and English (written spoken). /li liWork eligibility: You must be eligible to work in Switzerland. /li /ul h3Nice to have /h3 ul liExperience with responsible AI/governance frameworks, security reviews, and cost optimization. /li liDomain experience in one or more industries (e.g., retail, pharma, manufacturing, finance). /li liContributions to open‑source, publications, or conference talks. /li /ul h3Why Join Us /h3 ul liStrategy with a Data Edge: Operate at the intersection of boardroom strategy and cutting‑edge AI engineering. /li liRomandie Office Impact: High visibility from day one; help shape our Swiss footprint and work directly with senior leadership. /li liLearning Growth: Advanced training across strategy, AI/ML/LLM, and cloud; international missions and communities of practice. /li liCulture of Doers: Innovation, action, collaboration. We move fast, deliver impact, and support each other’s growth. /li /ul h3Location /h3 pLausanne / Geneva (Romandie) /p pIf you don’t meet 100% of the criteria, we still want to hear from you. Passion, curiosity, and impact orientation matter — tell us about yours. /p /p #J-18808-Ljbffr