Senior AI Engineer: Lead Production-Ready AI Solutions

Artefactlinkedin; Vaud; On-site; CHF 120,000 - 150,000; Full time

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

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.