Knowledge Engineering Consultant (all genders)

Accenture DACH; Kronberg im Taunus; Vor Ort; EUR 110.000 - 140.000; Vollzeit

Zusammenfassung

Accenture DACH is seeking a strong knowledge engineer transitioning to team leadership. You will design and implement knowledge graphs and AI solutions, hands-on across ingestion, modeling, curation, and deployment, guiding juniors and collaborating with users, engineers, and architects.

You will work with data pipelines, KG curation, and scalable AI/semantic models, contributing to value realization for clients and advancing company capabilities across multi-time zone teams.

Qualifikationen

• Bachelor's degree or equivalent, plus at least 3 of the listed qualifications.
• Experience with Knowledge Graph technologies (RDF, SPARQL, LPG, SHACL).
• Experience in schema design, ontology management, and KG curation.
• End-to-end data pipeline implementation for AI applications (especially LLMs).
• Strong knowledge of relational databases, object stores, graph databases (Stardog, Neo4J, Neptune), and vector databases.

Aufgaben

• 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 with the broader system.
• Work alongside the project team and delivery leads.
• Build solid 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 share with the team.

Kenntnisse

KG concepts

KG design

Graph ML models

End-to-end AI data pipelines

Relational/Graph DBs

Tools

RDF

SPARQL

LPG

SHACL

Stardog

Neo4J

Neptune

Python

TensorFlow

PyTorch

Airflow

NiFi

Jobbeschreibung

YOU ARE 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.

YOU ARE 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.

THE WORK

• 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.

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
• Well versed in designing and developing KG solutions and graph-based ML models (functional + technical)
• Proven experience with end-to-end data pipeline implementation for AI applications (esp. LLMs), with hands-on design and configuration
• Strong knowledge and working experience with relational databases, object stores, graph databases (Stardog, Neo4J, Amazon Neptune), and vector databases
• (no leadership/commercial requirement at this band)

Preferred Qualification

• Hands-on experience with cloud platforms (AWS, Azure, GCP)
• Well versed 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