Senior AI Engineer / Technical Consultant

Artefactlinkedin·Lausanne, Vaudsenior

In short

→Ingeniero de IA senior que arquitecta y entrega soluciones de IA con impacto real en clientes globales.
→Día a día: lidera PoCs, construye modelos LLM, despliega soluciones en la nube y asesora a altos directivos.
→Lo destacado: combina ingeniería profunda con consultoría estratégica en un entorno internacional.

Fluency in English required (written and spoken)

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The questions they'll ask you

1. ¿Cómo diseñarías un pipeline de RAG seguro y escalable en AWS con evaluación continua?

🔒 +7 more questions

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💵 USD · Remote · No visa

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What they ask for

✓Experiencia demostrable en arquitectura de soluciones de IA/ML a gran escala.
✓Habilidades avanzadas en Python y frameworks como PyTorch, TensorFlow, Hugging Face.
✓Experiencia con LLMs, RAG, fine-tuning (incl. LoRA) y evaluación de modelos.
✓Conocimiento sólido en cloud (Azure, GCP, AWS) y MLOps/LLMOps.
✓Capacidad para liderar equipos y comunicar técnicamente a stakeholders ejecutivos.
✓Compromiso con la ética, seguridad y gobernanza responsable de la IA.

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

PythonPyTorchTensorFlowHuggingFaceLangChainLlamaIndexAzureGCPAWSCI/CD

Who should you write to at Artefactlinkedin?

Your free dossier identifies the people who'd interview you — their background, what they value, and how to reach out so you stand out before applying.

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

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