Remote Graph Engineer – AI & Data Solutions

Accenture Poland; Warszawa; Hybrid; PLN 180,000 - 240,000; Full time

Benefits offered by this job

Permanent employment contract

Private medical care

Life insurance

Training package and coaching

Job summary

Accenture Poland is seeking a specialist to design and implement knowledge graph solutions across enterprise data. You will collaborate with data architects, engineers, scientists, and AI teams to create graph-based solutions that enable advanced analytics and GenAI use cases.

You will build semantic models, ontologies, taxonomies, and graph schemas while integrating with cloud Data & AI platforms. Strong knowledge of graph databases and query languages is required.

Qualifications

• Experience in designing or implementing graph-based data solutions.
• Understanding of knowledge graphs, ontologies, taxonomies, and semantic web concepts.
• Familiarity with graph query languages and graph modelling principles.

Responsibilities

• Design and implement knowledge graph solutions to connect and enrich enterprise data across sources.
• Collaborate with Data Architects, Engineers, Data Scientists, and AI teams to develop graph-based solutions.
• 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 RAG and Agentic AI solutions.

Skills

Knowledge graphs

Semantic web concepts

Graph query languages

Cloud-based Data & AI platforms

Analytical thinking

Tools

AWS Neptune

Neo4j

Azure Cosmos DB (Gremlin)

SPARQL

Cypher

Gremlin

Job description

Accenture Poland is seeking a specialist to design and implement knowledge graph solutions across enterprise data. You will collaborate with data architects, engineers, scientists, and AI teams to create graph-based solutions that enable advanced analytics and GenAI use cases.

You will build semantic models, ontologies, taxonomies, and graph schemas while integrating with cloud Data & AI platforms. Strong knowledge of graph databases and query languages is required.