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AI Solution Architect


AI Solution Architect

📍 Erpe-Mere, Belgium (Hybrid)

🕒 Full-time or Freelance


Role Description


Qity is seeking a highly skilled AI Solution Architect to join our innovative team. In this role, you will design, develop, and optimise AI-driven solutions, leveraging prompt orchestration frameworks, retrieval-augmented generation (RAG) tools, and knowledge graphs. You will work closely with cross-functional teams to build and enhance intelligent systems tailored for the medical industry.


Responsibilities


  • Develop and implement AI-driven applications
  • Design and optimise dynamic prompt assembly and chaining for improved AI performance
  • Work with RAG tools such as Neo4j and Protégé to enable intelligent information retrieval and contextual AI reasoning
  • Build and maintain knowledge graphs to structure and enrich AI models
  • Design, implement, and manage ETL pipelines to extract, transform, and load data efficiently for AI systems
  • Continuously improve AI-driven workflows, conduct testing, and validate models to ensure robustness and reliability
  • Stay up to date with the latest advancements in AI, machine learning, and knowledge representation


Qualifications


  • Master’s or PhD in Computer Science, Data Science, Artificial Intelligence, Software Engineering, or a related field
  • Experience in prompt orchestration frameworks (e.g. LangChain, LlamaIndex) to enhance AI-driven applications
  • Strong programming skills in Python, with experience in frameworks such as PyTorch, TensorFlow, or JAX being a plus
  • Deep understanding of prompt engineering, LLM fine-tuning, and generative AI models
  • Experience in building and optimising knowledge graphs, including ontologies, semantic reasoning, and entity linking
  • Hands-on experience with RAG methodologies, including vector databases, graph-based retrieval, and document indexing
  • Expertise in ETL pipeline development, handling structured and unstructured data, and managing data lakes and warehouses
  • Familiarity with cloud computing platforms such as AWS, Azure, or GCP for AI model deployment and scaling
  • Strong understanding of database management systems, including SQL, NoSQL, and graph databases (e.g. Neo4j, ArangoDB, or RDF stores)
  • Excellent problem-solving skills with a strong mathematical and algorithmic foundation
  • Ability to work effectively in an agile, multidisciplinary environment
  • Proficiency in English is required; Dutch is a plus


At Qity, we are committed to the professional development of our team. The successful candidate will receive comprehensive training and support, gaining valuable experience in AI-driven medical technologies. We welcome applications from both employees and freelancers. No agencies.

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