Graph Engineer (AI&Data)

Description

Design and implement knowledge graph solutions to connect and enrich enterprise data across structured and unstructured sources.

Collaborate with Data Architects, Engineers, Data Scientists, and AI teams to develop graph-based solutions supporting analytics and GenAI use cases.

Responsibilities

• Build and maintain semantic models, ontologies, taxonomies, and graph schemas that represent business concepts and relationships.
• Develop and optimize graph data models and queries to improve data discovery, reasoning, and AI-powered insights.
• Integrate knowledge graphs with enterprise Data & AI platforms, including Retrieval-Augmented Generation (RAG) and Agentic AI solutions.
• Participate in client workshops, technical design sessions, and solution development activities for graph and AI initiatives.
• Work flexibly across remote, client, and office locations while collaborating with cross-functional teams.

Benefits

• Work on innovative Data & AI projects for international clients, leveraging knowledge graphs, semantic technologies, and GenAI.
• Gain exposure to advisory, solution design, and enterprise-scale delivery while working with multidisciplinary teams.
• Build expertise in graph technologies, semantic AI, and modern enterprise data platforms through real client challenges.

Qualifications

• Experience in designing or implementing graph-based data solutions or semantic data models.
• Understanding of knowledge graphs, ontologies, taxonomies, and semantic web concepts.
• Familiarity with graph query languages and graph modelling principles.
• Understanding of graph databases and their application in AI, analytics, and knowledge management.
• Experience working with cloud-based Data & AI platforms and integrating multiple data sources.
• Strong analytical thinking, problem-solving, communication, and stakeholder collaboration skills.

Preferred Qualifications

• Experience with graph databases such as AWS Neptune, Neo4j, Amazon Neptune, or Azure Cosmos DB (Gremlin).
• Familiarity with RDF, OWL, SKOS, SPARQL, Gremlin, Cypher, or similar graph and semantic technologies.
• Experience building Knowledge Graphs for RAG, Agentic AI, recommendation systems, or enterprise search.
• Experience with data catalogue, metadata management, or semantic layer solutions, as well as consulting or solution shaping in the Data & AI domain.

What We Offer

• Individual support of a People Lead and a specific professional development path, with the possibility of a coaching session.
• Training package covering soft, technical, and language training; access to e-learning platforms; Gallup test; GenAI training; and potential co-financing for courses and certifications.
• Employee Assistance Program with legal, financial, and psychological consultations.
• Employee share purchase plan with eligibility for quarterly dividends for employees who own company shares.
• Paid employee referral program.
• Private medical care and life insurance.
• Access to the Worksmile platform, including a wide range of products and services such as the Multisport card.