We are supporting an established Swiss consulting firm in IT, Data and AI , based in French-speaking Switzerland and serving clients across Switzerland. The firm is known for the quality and reliability of its delivery and for long-term relationships with its clients. Lesen Sie weiter, um sich ein umfassendes Bild von dieser Stelle zu machen und zu erfahren, was für einen erfolgreichen Bewerber erforderlich ist. Join a growing Data multi-step workflows, memory and tool integration. Harness engineering : context and memory management, tool and MCP integration, retries and fallbacks, token and cost budgeting, tracing and evaluation harnesses around the model. Evaluation and reliability : you know how to measure quality without ground truth, reduce hallucination, and prove that a system is fit for business use. Solid MLOps practice : containers, at least one major cloud platform (Azure, AWS or GCP), data and model pipelines, versioning, testing and monitoring. Strong data science and NLP foundations : LLM APIs and open-weight models, classical NLP, evaluation methods. Document and file processing : parsing, OCR, chunking strategies, structured information extraction from unstructured sources. Security mindset : you design for confidentiality, access rights and traceability from the start, not as an afterthought. Consulting posture : structured, client-facing, comfortable presenting to senior stakeholders and explaining technical choices in business terms. Sector exposure : experience in FMCG or consumer goods is a strong plus; experience with international organisations or other regulated, multi-stakeholder environments is also valued. Languages : fluent French and English. Mindset : intrapreneurial, autonomous and curious, with a real appetite for co-building a practice, sharing knowledge and growing with a team. Nice to Have Hands-on experience with one or more enterprise AI stacks: Microsoft (Azure AI Foundry, Azure OpenAI, Fabric, Copilot Studio), Databricks, Snowflake or Dataiku . Open-source contributions, technical writing or public work that shows how you think and build. If you have a GitHub profile or Stack Overflow activity you are proud of, share the links with your application. Conditions Location: French-speaking Switzerland (Lake Geneva area), with regular presence at client sites; hybrid arrangement possible Start date: As soon as possible Compensation: Competitive, in line with the Swiss consulting market Why Join A key role in a strategic, growing practice, inside an established Swiss firm with a solid client base and reputation. Direct exposure to the practice lead and executive committee, and real influence on how the practice is built. Flagship engagements with high-profile clients from day one. A clear growth path as the team scales, including technical leadership of the AI engineering stream. Recruitment Process 1. Pre-qualification interview with Candice Valembois, Valembois Consulting (video call or on-site interview, approx. 45 minutes) 2. Interview with the Managing Director
Senior AI Engineer Arbeitgeber: DatAfterwork
Unser Kunde ist ein schnell wachsendes Technologieunternehmen mit Sitz in Genf, das an der Schnittstelle von Datenmanagement, Compliance und Unternehmenssoftware tätig ist. Die Unternehmenskultur fördert Innovation und Zusammenarbeit in einem internationalen Umfeld, während die Mitarbeiter durch gezielte Weiterbildungsangebote und ein starkes Mentoring-Programm unterstützt werden. Zudem profitieren die Angestellten von flexiblen Arbeitszeiten und einer hervorragenden Work-Life-Balance, was das Arbeiten in dieser dynamischen Stadt besonders attraktiv macht.
