Graph Engineer (AI&Data)

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

Benefits offered by this job

Permanent contract

People Lead support

Professional development path

Training package

Employee Assistance Program

Share purchase plan

Private medical care

Multisport card

Job summary

Accenture Poland is seeking a graph and AI specialist to design and implement knowledge graph solutions that connect enterprise data across sources. Collaborate with data architects, engineers, data scientists, and AI teams to create graph-based solutions and semantic models for analytics and GenAI use cases.

You will build and optimize graph data models, and integrate knowledge graphs with enterprise Data & AI platforms, including retrieval-augmented generation.

Qualifications

• Experience designing or implementing graph-based data solutions or semantic data models.
• Knowledge 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.

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.
• Develop and optimize graph data models and queries for AI-powered insights.
• Integrate knowledge graphs with enterprise Data & AI platforms including RAG and Agentic AI.
• Participate in client workshops, technical design sessions, and solution development for graph and AI initiatives.
• Work across remote, client, and Accenture locations while collaborating with cross-functional teams.

Skills

Knowledge graphs

Semantic data models

Graph query languages

Graph modelling principles

Analytical thinking

Stakeholder collaboration

Tools

AWS Neptune

Neo4j

Azure Cosmos DB

SPARQL

Gremlin

Cypher

Job description

WHO WE ARE

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.

AI&Data

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, or semantic layer solutions, as well as consulting or solution shaping in the Data & AI domain.

Research indicates that some candidates, especially the most diverse ones, may hesitate to apply for positions if they don't meet all requirements. If you believe you possess the necessary skills, even if not meeting every requirement, we wholeheartedly encourage you to submit your application.

WHAT WE OFFER?

• Permanent employment contract.
• Individual support of a People Lead and a specific path of professional development, as well as the possibility of a session with a Coach.
• A wide training package (soft, technical, and language training offer, access to the e-learning platforms, Gallup test, GenAI training, possibility of co-financing courses, and certification).
• Employee Assistance Program - legal, financial, and psychological consultations.
• Accenture employees eligible for the Employee share purchase plan automatically become eligible for quarterly dividends if they own company shares.
• Paid employee referral program.
• Private medical care, life insurance.
• Access to the Worksmile platform (possibility of using a wide range of products and services, including the Multisport card)

WHAT WE BELIEVE:

Accenture does not discriminate against employment candidates based on race, religion, color, sex, age, disability, national origin, political beliefs, trade union membership, ethnicity, denomination, sexual orientation, or any other basis impermissible under Polish law. All our leaders are committed to building a better, stronger, and more durable company for future generations to create positive, long-lasting change. Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and creative, which helps us better serve our clients and our communities. Our position as a partner to many of the world’s leading businesses, organizations, and governments affords us both an extraordinary opportunity and a tremendous responsibility to make a difference. Sustainability is one of our greatest responsibilities, and we embed it into everything we do and for everyone we work with.