Knowledge Engineering Senior Analyst

Accenture UK & Ireland; Greater London; Hybrid; GBP 85,000 - 120,000; Full time

Job summary

Accenture UK & Ireland seeks a knowledge engineer transitioning into a team lead role. You will own design, development and deployment of AI/Knowledge Graph solutions across ingestion, modeling and curation, guiding juniors and collaborating with users, engineers and product teams to deliver end-to-end outcomes.

You will apply current methodologies, build scalable ontologies, and keep advancing in LLMs, agentic systems, and NLP techniques to solve real business problems for clients in London and

Qualifications

• Bachelor's degree or equivalent plus 3+ related qualifications.
• Experience with Knowledge Graph technologies (RDF, SPARQL, LPG, SHACL).
• Expertise in KG design, curation, and graph-based ML models.
• End-to-end data pipeline experience for AI/LLMs with hands-on design.
• Strong knowledge of relational and graph databases (e.g., Neo4J, Neptune, Stardog).

Responsibilities

• Build Knowledge Graph components transforming a client's data architecture.
• Design, develop, and implement AI and semantic solutions integrated with the system.
• Collaborate with project team and delivery leads.
• Develop relationships with client counterparts for your workstream.
• Assemble evidence for the recommended semantic layer solution.
• Support Accenture sales efforts when called on.

Skills

Knowledge Graphs

RDF/SPARQL

KG Schema Design

KG Curation

Graph ML

End-to-end Data Pipelines

Relational & Graph DBs

Education

Bachelor's degree or equivalent

Tools

AWS

Azure

GCP

TensorFlow

PyTorch

Apache NiFi

Airflow

Neo4j

Stardog

Neptune

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.

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
• Expertise in 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

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