The goal is to build an AI solution whose behavior is driven by business context rather than relying solely on a general-purpose language model. The solution should understand the company's key business concepts, products, data structures, and their relationships, enabling the AI to generate responses and insights that are meaningful and relevant from a business perspective.
Responsibilities
- Define and design the business context layer around the AI solution
- Design and develop semantic data models and business concept models
- Define business concepts, relationships, and information structures
- Design and leverage knowledge graph solutions
- Enable the AI model to utilize information related to the client's products, services, and business operations
- Evaluate and define the target architecture, implementation approach, and required technologies
- Participate in the design and development of the AI solution together with business and technical stakeholders
We Are Looking For Someone With
- Experience in Knowledge Graph, Semantic AI, Data Architecture, or AI Architecture solutions
- Strong understanding of data modeling, ontologies, and semantic information models
- Experience integrating business knowledge into AI and large language model (LLM) solutions
- Ability to understand complex ecosystems and translate requirements into practical implementations
- Experience designing and delivering similar AI and data-driven initiatives
Project Information
- Target start date: Early 2027
- Allocation to be defined during project planning
- Candidates are encouraged to provide their view on the required effort, project phases, and indicative timeline
- These estimates will be used to support project planning and resource allocation
This role is an excellent fit for an experienced Knowledge Graph Architect, Semantic AI Architect, AI Architect, or Data & AI Architect with hands-on experience in building business context layers that enhance the effectiveness and accuracy of modern AI solutions.