Senior Data Scientist - GenAI

Are you a seasoned AI professional with a passion for generative AI and Large Language Models (LLMs)? Artefact Belgium is looking for a Senior Data Scientist - Gen AI to drive innovation and lead cutting-edge projects. If you have at least four years of experience in AI and consulting, combined with a talent for project and team management, we invite you to shape the future of LLM-driven solutions with us in Brussels.

• Experienced professional: At least 4 years of experience in AI, with a strong background in consulting and delivering impactful projects for diverse clients.
• Leader and collaborator: Proven experience managing teams, guiding junior colleagues, and fostering collaboration in multidisciplinary environments.
• Innovative thinker: Able to identify emerging trends in generative AI and apply them to real-world challenges.
• Results-oriented: Comfortable handling end-to-end project delivery, from ideation and development to deployment and client engagement.
• Eager to grow: Passionate about advancing your expertise in LLMs and generative AI while mentoring others.

Artefact is a leading Data & AI consulting firm at the forefront of AI innovation. With a global presence, we collaborate with top-tier clients across industries, including healthcare, manufacturing, and media, to harness the transformative power of generative AI. Our team in Belgium is specialized in LLM and GenAI projects, working on the most advanced applications of these technologies. Our inclusive and forward-thinking culture encourages creativity, collaboration, and professional growth.

• →Lead and deliver LLM projects: Manage the design, development, and deployment of advanced LLM-powered solutions, including RAG systems, agentic AI architectures, and multi-modal applications for our clients.
• →Drive technical excellence: Architect and deploy advanced AI systems leveraging cutting-edge techniques such as parameter-efficient fine-tuning (LoRA/QLoRA), prompt orchestration, retrieval-augmented generation (RAG), function/tool calling, multi-agent workflows, and emerging interoperability standards like the Model Context Protocol (MCP).
• →Establish evaluation frameworks: Design and implement comprehensive quality metrics and benchmarks to ensure production-ready, reliable AI solutions that meet client requirements.
• →Mentor and manage teams: Guide junior engineers and data scientists in implementing cutting-edge AI technologies, fostering best practices in LLM development and deployment.
• →Innovate and strategize: Drive experimentation with state-of-the-art LLMs to identify new use cases, optimize performance through techniques like quantization and inference optimization, and develop generative AI tools and products.
• →Build scalable infrastructure: Oversee the deployment and maintenance of AI systems, including model serving, API development, vector databases, orchestration frameworks (LangChain, LlamaIndex), and cloud infrastructure.
• →Engage with clients: Collaborate with client teams to translate their business needs into impactful AI solutions, providing technical leadership and strategic guidance throughout project lifecycles.
• →Shape our expertise: Contribute to the company's thought leadership by publishing insights, presenting at conferences, or driving internal training on emerging LLM technologies and best practices.

• A degree in computer science, engineering, mathematics, or a related field; advanced degrees (MSc or PhD) are a plus.
• At least 4 years of professional experience in AI, with a strong focus on Data, Machine Learning, LLMs, or generative AI.
• Consulting experience, including managing client relationships and delivering tailored solutions.
• Deep expertise in modern LLM techniques including fine-tuning, RAG systems, agentic AI, evaluation frameworks, and production deployment.
• Strong programming skills in Python and extensive experience with NLP/AI frameworks (e.g., Hugging Face, OpenAI, Anthropic, LangGraph, Agno, ….).
• Leadership and project management skills, with a proven track record of managing teams and delivering complex AI projects.
• Excellent analytical, problem-solving, and communication skills. Proficiency in English, Dutch, or French is required; additional languages are a plus.