Senior AI Engineer / Technical Consultant

Artefact Group Switzerland SA seeks a Senior AI Engineer / Technical Consultant in Lausanne to lead AI engineering and client advisory, combining technical delivery with strategic stakeholder management.

This position sits at the intersection of advanced AI engineering and high-level strategy consulting. The successful candidate will guide multidisciplinary teams through the full lifecycle of AI initiatives, from initial opportunity framing and proof-of-concept development to secure, scalable production deployment. The role demands a balance of deep technical execution and the ability to translate complex business goals into actionable technical roadmaps for senior leadership.

Responsibilities

• Architect end-to-end solutions covering data pipelines, ML/LLM models, APIs, and security, while making informed build-versus-buy decisions.
• Drive projects from initial proof-of-concept through to production, ensuring measurable business impact and managing risks and trade-offs.
• Scope, prototype, and validate AI use cases, including LLMs, GenAI, RAG, and fine-tuning, converting successful pilots into scalable products.
• Develop, adapt, and evaluate machine learning and deep learning models using Python, incorporating prompt engineering, LoRA, vector search, and safety guardrails.
• Design and operate cloud-based solutions on Azure, GCP, or AWS, managing CI/CD, containers, model serving, feature stores, and monitoring pipelines.
• Translate business objectives into technical strategies, presenting findings to senior stakeholders and ensuring clear documentation.
• Enforce best practices regarding data privacy, model risk management, responsible AI, and comprehensive documentation.
• Coach engineers and consultants, conduct code and design reviews, and contribute to delivery standards and reusable accelerators.
• Support business development by contributing to proposals, estimates, statements of work, and external publications or talks.

Requirements

• 5–8+ years of experience in data, ML, or AI engineering, with a proven track record of delivering production AI systems.
• Expert-level proficiency in Python and solid software engineering practices, including testing, packaging, and CI/CD.
• Strong SQL skills are required.
• Hands-on experience with ML/DL and LLMs, including prompting, fine-tuning/LoRA, embeddings, RAG, evaluation, observability, and guardrails.
• Deep expertise in at least one major cloud platform (Azure, GCP, or AWS) for deploying secure and scalable services.
• Fluency in both French and English, written and spoken, is mandatory.
• Eligibility to work in Switzerland is required.

Nice to have

• Experience with responsible AI governance frameworks, security reviews, and cost optimization strategies.
• Domain expertise in industries such as retail, pharma, manufacturing, or finance.
• Contributions to open-source projects, publications, or conference talks.
• Proficiency in Java, Scala, or TypeScript.

What the company offers

• Opportunity to work at the intersection of boardroom strategy and cutting-edge AI engineering.
• High visibility from day one, with the chance to shape the company’s Swiss footprint and collaborate directly with senior leadership.
• Access to advanced training in strategy, AI/ML/LLM, and cloud technologies, along with international missions and communities of practice.
• A culture focused on action, innovation, and collaboration, supporting rapid delivery and individual growth.

About the company

Artefact Group Switzerland SA operates as a next-generation strategy and data consulting firm, combining the rigor of top-tier consulting with deep expertise in data, digital, and analytics. The company is dedicated to transforming organizations through data and AI, helping clients achieve tangible business impact. The culture emphasizes an engineer-first mindset, prioritizing a builder’s approach and a track record of shipping effective solutions.

• Combining top-tier strategy consulting rigor with deep data and analytics expertise.
• Engineer-first mindset with a focus on shipping tangible results.
• Culture of Doers: Innovation, action, and collaboration.
• Support for individual growth and rapid delivery of impact.