Data Engineer - Knowledge Graphs & AI

• Build Knowledge Graph components that contribute to transforming a client’s data architecture.
• Design, develop, and implement AI and semantic solutions; ensure their work integrates cleanly with the broader system.
• Work alongside the project team and delivery leads.
• Build solid working relationships with client counterparts on their workstream.
• Help assemble the supporting evidence for the recommended semantic layer solution.
• Support Accenture sales efforts when called on.
• Keep developing skills in cutting-edge Data & AI solutions, especially agentic technologies, and shares with the team.

You are a a strong individual contributor knowledge engineer growing into a team lead. You are well versed in the full knowledge graph development lifecycle. You formulate real-world problems into practical, efficient, scalable AI and Knowledge Graph solutions, working hands-on across the lifecycle from ingestion through modeling, curation, and deployment. You apply current methodologies, techniques, and algorithms with the right architecture, and begin to guide junior engineers on the project. You stay current with knowledge engineering, generative AI, LLM, and multi-modal models; look for opportunities to apply them to the problem at hand. You design, evaluate, and maintain ontologies as needed. You help articulate the value of generative AI and knowledge graph approaches for a given business problem. You share what they learn with the team. You collaborate with users, use case reps, engineers, architects, and UI designers to deliver their piece of an end-to-end solution., Bachelor’s degree in in Computer Science, Information Science, Mathematics, Physics, or equivalent.

BASIC (REQUIRED) QUALIFICATION

• Bachelor’s degree or equivalent, plus at least 3 of the following:
• Experience with Knowledge Graph technologies (RDF, SPARQL, LPG, SHACL)
• Experience in schema design, ontology management, and KG curation
• Hands on experience designing and developing KG solutions and graph-based ML models (functional + technical)

• Experience with end-to-end data pipeline implementation for AI applications (esp. LLMs), with hands-on design and configuration

• Experience with strong knowledge of relational databases, object stores, graph databases (Stardog, Neo4J, Amazon Neptune), and vector databases
• Fluent in Spanish and high level of understanding and communicating in English (B2 - C1)

PREFERRED QUALIFICATION

• Hands-on experience with cloud platforms (AWS, Azure, GCP).
• Experience in Python, with experience in frameworks like Tensorflow, PyTorch, and tools for building ETL pipelines (e.g. Apache NiFi, Airflow).
• Practical experience with NLP and/or Search techniques.
• Prompt engineering, and LLMs for enterprise-scale applications.
• You have team lead experience.
• Strong collaboration skills with the ability to work across engineering, research, and product teams across multiple time zones.
• You have external client-facing consulting experience.
• Broad experience in diverse ML techniques and agentic systems.

Accenture, recognized as a Great Place To Work®, is a leading global professional services company that helps major businesses, public administrations, and other organizations around the world develop their digital core, optimize their operations, accelerate revenue growth, and improve services for citizens, creating tangible value at speed and scale., At Accenture, recognized as a Great Place To Work®, we are committed to a hybrid work model that, supported by technology and our office spaces, enables us to maintain the essential human connection needed to collaborate effectively with our teams and clients. This connection helps us foster our culture of inclusion and diversity and has contributed to being recognized by Refinitiv as one of the world’s most diverse companies.

In addition, we offer:

• Private medical, life, and accident insurance.
• Medical services and wellbeing programs.
• Flexible benefits program and employee share purchase plan.
• Flexible working arrangements (working hours, additional leave days, vacation options, and more).
• Personalized learning and career development paths.
• Sustainability initiatives and opportunities to participate in the Accenture Foundation.
• Employee diversity and inclusion networks.
• Additional benefits, including special banking conditions through our Bankinter office and profit-sharing programs.