Senior AI Engineer / Technical Consultant

Artefactlinkedin

Vaud

On-site

CHF 120,000 - 150,000

Full time

14 days+

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Job summary

Artefact is seeking a Senior Technical Consultant / Senior AI Engineer in the Romandie region (Lausanne/Geneva) to lead data and AI solutions from design to production. You will blend hands-on engineering with client advisory, guiding multi-disciplinary teams through architecture, ML/LLM work, and cloud deployment.

Required 5–8+ years in data/ML/AI engineering, expert Python, and fluency in French and English.

Qualifications

  • 5+ years in data/ML/AI engineering or adjacent roles with end-to-end delivery of production AI systems.
  • Expert Python; strong software engineering (testing, packaging, CI/CD).
  • Fluent in French and English (written & spoken).
  • Experience deploying secure, scalable services on major cloud platforms (Azure, GCP, or AWS).

Responsibilities

  • Own solution architecture & delivery from PoC to production with reliability and cost in mind.
  • Lead complex PoCs & pilots; translate into scalable products.
  • Advanced modeling with ML/DL/LLMs, prompt engineering, fine-tuning, embeddings, evaluation, observability, guardrails.
  • Design and operate Cloud & MLOps/LLMOps solutions (CI/CD, containers, feature stores, vector DBs, monitoring).
  • Guide client advisory & stakeholder management; translate business goals into technical roadmaps.
  • Enforce data privacy, model risk management, responsible AI, and documentation.
  • Coach engineers/consultants, conduct code/design reviews, help shape delivery standards.
  • Support pre-sales, proposals, statements of work; contribute to assets, talks, and publications.

Skills

Python
ML/AI engineering
Stakeholder management
Team leadership
Bilingual French/English

Education

Master’s or Bachelor’s in CS/Engineering

Tools

Docker
Kubernetes
Git
GitHub Actions

Job 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 French and English (written & spoken).
  • 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.

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