Senior AI Engineer / Technical Consultant at Artefact

Lausanne, Vaud, Switzerland -

Full Time

Start Date

Immediate

Expiry Date

08 Feb, 26

Salary

0.0

Posted On

10 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Machine Learning, Deep Learning, Large Language Models, Cloud Computing, MLOps, Data Architecture, Software Engineering, Stakeholder Management, Data Privacy, Model Risk Management, Consulting Skills, SQL, Docker, Kubernetes, FastAPI

Industry

Business Consulting and Services

Description

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. Main Responsibilities As a Senior Technical Consultant / Senior AI Engineer, 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. Own 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. Lead 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. Advanced 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. Cloud & MLOps/LLMOps: Design and operate solutions on Azure, GCP, or AWS (CI/CD, containers, model serving, feature stores, vector DBs, monitoring, eval pipelines). Client advisory & stakeholder management: Translate business goals into technical roadmaps, present to senior stakeholders, manage risks and trade-offs, and ensure measurable business impact. Quality, security & governance: Enforce best practices on data privacy, model risk management, responsible AI, and documentation. Team leadership & mentoring: Coach engineers/consultants, perform code and design reviews, and help shape delivery standards and reusable accelerators. Pre-sales & thought leadership: Support proposals, estimates, and statements of work; contribute to assets, talks, and publications that advance Artefact’s AI offering. Candidate Profile Engineer first, consultant second — with a builder’s mindset and a track record of shipping. Experience: 5–8+ years in data/ML/AI engineering or adjacent roles, including end-to-end delivery of production AI systems (not just prototypes). Programming: Expert Python; solid software engineering (testing, packaging, CI/CD). SQL required; Java/Scala/TypeScript a plus. AI/ML: Hands-on with ML/DL and LLMs (prompting, fine-tuning/LoRA, embeddings/RAG, evaluation & observability, guardrails). Cloud: Deep experience on at least one major cloud (Azure, GCP, or AWS) deploying secure, scalable services. MLOps/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). Architecture & data: Designing data/ML platforms, APIs, microservices; familiarity with data pipelines and streaming is valued. Consulting skills: Requirements gathering, storytelling, senior stakeholder management, and clear documentation. Languages: Fluency in German and English (written & spoken) is mandatory; French is a strong plus. Work eligibility: You must be eligible to work in Switzerland. Nice to have Experience with responsible AI/governance frameworks, security reviews, and cost optimization. Domain experience in one or more industries (e.g., retail, pharma, manufacturing, finance). Contributions to open-source, publications, or conference talks. Why Join Us Strategy with a Data Edge: Operate at the intersection of boardroom strategy and cutting-edge AI engineering. Romandie Office Impact: High visibility from day one; help shape our Swiss footprint and work directly with senior leadership. Learning & Growth: Advanced training across strategy, AI/ML/LLM, and cloud; international missions and communities of practice. Culture of Doers: Innovation, action, collaboration. We move fast, deliver impact, and support each other’s growth. Location: Lausanne / Geneva (Romandie) If 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.

Responsibilities

Lead the design and delivery of impactful AI and data solutions, guiding multi-disciplinary teams from opportunity framing to production deployment. Define end-to-end architectures and drive projects from proof of concept to production with a focus on reliability and cost-effectiveness.