At a Glance
- Tasks: Lead the development of AI and Knowledge Graph solutions, transforming real-world problems into scalable systems.
- Company: Join a forward-thinking tech company that values innovation and collaboration.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic work environment with opportunities to work across multiple locations like London and Berlin.
- Why this job: Make a tangible impact in AI while guiding junior engineers and collaborating with diverse teams.
- Qualifications: Experience in Knowledge Graph technologies and strong collaboration skills are essential.
The predicted salary is between 80000 - 100000 £ per year.
We are looking for 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 you learn with the team. You collaborate with users, use case reps, engineers, architects, and UI designers to deliver your 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 your work integrates cleanly with the broader system.
- Work alongside the project team and delivery leads.
- Build solid working relationships with client counterparts on your 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.
Qualifications
Basic (Required)
- 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
- 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
Locations
- London
- Berlin
- Madrid
- Paris
Knowledge Engineering Consultant / Team Lead employer: WeAreTechWomen
At Accenture, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our London office provides unparalleled opportunities for professional growth, with access to cutting-edge AI technologies and the chance to work alongside industry leaders. We are committed to your development, ensuring you have the resources and support needed to thrive in your role as a Senior Manager/Associate Director in AI architecture.
