Knowledge Graph Lead & AI Solutions Architect

Archer; Greater London; On-site; GBP 70,000 - 110,000; Full time

Job summary

Archer, collaborating with Accenture, seeks a knowledge engineer to drive semantic AI initiatives in a client-facing setting. You will design knowledge graphs, build graph-based ML pipelines, and integrate AI components within end-to-end data architectures.

You will work with cross-functional teams across engineering, research, and product, guiding junior engineers and contributing to sales and client storytelling. London-based, hybrid work possible.

Qualifications

• Bachelor's degree or equivalent; plus at least 3 of the listed items.
• 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).
• Experience with relational databases, object stores, graph databases, and vector databases.

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

KG design & curation

Graph ML models

End-to-end data pipelines

LLMs for AI apps

Team lead experience

Education

Bachelor's degree or equivalent

Tools

AWS / Azure / GCP

Python

TensorFlow / PyTorch

NiFi / Airflow ETL

Neo4J / Stardog / Neptune

Job description

Archer, collaborating with Accenture, seeks a knowledge engineer to drive semantic AI initiatives in a client-facing setting. You will design knowledge graphs, build graph-based ML pipelines, and integrate AI components within end-to-end data architectures.

You will work with cross-functional teams across engineering, research, and product, guiding junior engineers and contributing to sales and client storytelling. London-based, hybrid work possible.