Senior ai Engineer - Technical Consultant H/F Artefact

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.