Graph Engineer (AI&Data)

Accenture is a leading global professional services company that helps the world’s leading businesses, governments, and other organizations build their digital core, optimize their operations, accelerate revenue growth, and enhance citizen services. At the AI&Data, we work locally and globally with over 200 Poland-based specialists. Our expertise spans data architecture and sectoral specialization. We collaborate with tech partners like Microsoft, AWS, Google, Oracle, and Snowflake to implement cutting-edge solutions. We provide comprehensive support from strategy definition to solution implementation and development, covering all aspects of Data & Analytics. THE WORK: 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. 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 Accenture locations while collaborating with cross-functional teams. Flexible: The work location for this role may include a mix of working remotely (most of the time), onsite at a client or in an Accenture office - depending on specific project circumstances With all our roles, there is some in-person time for collaboration, learning and building relationships with clients, peers, leaders, and communities. As an employer, we will be as flexible as possible to support your specific work/life needs. WHAT’S IN IT FOR YOU? 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. HERE'S WHAT YOU'LL NEED 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. BONUS POINTS IF YOU HAVE: 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,