Graph Engineer (AI&Data)
⚲ Warsaw, Krakow, Wroclaw, Poznan, Gdansk, Bialystok
Do uzgodnienia
Wymagania
- Neo4j
- Neptune
- Cosmos DB
- SPARQL
Opis stanowiska
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.
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.
🔍 Dekoder Ogłoszenia
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implement cutting-edge solutions
Może oznaczać pracę z nowymi technologiami, ale też potencjalnie z niedojrzałymi, wymagającymi dużo eksperymentowania rozwiązaniami.
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comprehensive support from strategy definition to solution implementation and development
Oznacza to, że będziesz zaangażowany w cały cykl życia projektu, od początkowych koncepcji po wdrożenie i dalszy rozwój.
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Work flexibly across remote, client, and Accenture locations
Chociaż praca zdalna jest podkreślona jako główna, może to oznaczać częste podróże do klienta lub do biur firmy, w zależności od potrzeb projektu.
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collaborating with cross-functional teams
Będziesz pracować z ludźmi z różnych działów, co może wymagać dobrej komunikacji i umiejętności adaptacji do różnych stylów pracy.