Knowledge Engineering Consultant / Team Lead

Accenture PLC; Greater London; On-site; GBP 80,000 - 110,000; Full time

Job summary

Accenture PLC is seeking a strong knowledge engineer ready to grow into a team lead role. You work across the full lifecycle from ingestion to deployment, shaping practical AI and knowledge graph solutions for client data architectures.

You will design ontologies, curate KG content, experiment with LLMs and agentic systems, and mentor junior engineers while collaborating with clients, engineers, and product teams across time zones.

Qualifications

• Bachelor's degree or equivalent with 3+ of the listed KG and data engineering qualifications.
• Experience with Knowledge Graph technologies (RDF, SPARQL, LPG, SHACL).
• End-to-end data pipeline implementation for AI apps (LLMs), with hands-on design and configuration.

Responsibilities

• 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 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 share with the team.

Skills

Knowledge Graph

RDF/SPARQL

KG Curation

KG Design

Graph ML

Data Pipelines

Relational DBs

Graph DBs

Stardog

Neo4J

Neptune

Cloud Platforms

AWS

Azure

GCP

Python

TensorFlow

PyTorch

ETL Tools

NLP

LLMs

Prompt Eng

Team Lead

Education

Bachelor's degree

Tools

Stardog

Neo4J

Neptune

AWS

Azure

GCP

Job description

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