8 days ago
Barcelona, Spain or Madrid, SpainStaff+
Responsibilities
- Lead the build of Knowledge Graph solutions that transform client data architectures.
- Direct the design, development, and implementation of AI and semantic solutions.
- Design, evaluate, and maintain ontologies and establish knowledge engineering standards.
- Develop Knowledge Graph solutions, graph-based machine learning models, and AI data pipelines.
- Lead teams or workstreams within larger programs and set technical direction.
- Work with project leaders, delivery leads, and client stakeholders on graph-powered Data & AI offerings.
- Build client relationships, explain the business case for semantic-layer solutions, and contribute to sales and pre-sales efforts.
- Provide thought leadership on technology trends, innovations, risks, and opportunities.
- Drive end-to-end delivery across business and technical teams.
Requirements
- Bachelor’s degree or equivalent in Computer Science, Mathematics, Physics, Engineering, or a related field; an MSc is also listed as an education option.
- At least four of the listed areas of experience, including Knowledge Graph technologies such as RDF, SPARQL, LPG, or SHACL.
- Hands-on experience with schema design, ontology management, and Knowledge Graph curation.
- Experience designing and developing Knowledge Graph solutions and graph-based machine learning models.
- Experience implementing end-to-end data pipelines for AI applications, especially LLM applications.
- Strong knowledge of relational, object-store, graph, and vector databases, including Stardog, Neo4j, and Amazon Neptune.
- Experience leading a team or workstream within a larger program.
- Fluent Spanish and English communication at B2–C1 level.
- Preferred experience with AWS, Azure, or GCP cloud platforms.
- Preferred Python experience with TensorFlow, PyTorch, Apache NiFi, or Airflow.
- Preferred practical experience with NLP, search techniques, prompt engineering, enterprise LLM applications, agentic systems, and diverse machine learning techniques.
- Preferred external client-facing consulting experience and collaboration across engineering, research, and product teams.
- A Ph.D. in a relevant technical field is preferred.
Benefits
- Hybrid work model in Barcelona, Madrid, or Valencia, with remote work and in-office collaboration.
- Private medical, life, and accident insurance.
- Medical services and wellbeing programs.
- Flexible benefits, working hours, additional leave days, vacation options, and an employee share purchase plan.
- Personalized learning and career development paths.
- Sustainability initiatives and opportunities to participate in the Accenture Foundation.
- Employee diversity and inclusion networks.
- Additional banking conditions through Bankinter and profit-sharing programs.
Tech Stack
Categories
Data EngineeringML Engineering
About Accenture
Accenture is a global professional services firm providing management consulting, systems integration and technology, cybersecurity, and business process outsourcing for enterprises and governments. It operates a services-driven model delivering projects and managed services, often with major cloud and software partners, across industries worldwide. Headquartered in Dublin and publicly traded on the NYSE (ACN), it originated as Andersen Consulting and adopted the Accenture name in 2001.