Job Description

Who is Artefact?

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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'Oreal, 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

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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

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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

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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.