At a Glance
- Tasks: Create innovative AI solutions and develop knowledge graphs to solve real-world problems.
- Company: Join a leading tech firm focused on cutting-edge knowledge engineering.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Collaborative environment with mentorship opportunities and career advancement.
- Why this job: Be at the forefront of AI technology and make a tangible impact in various industries.
- Qualifications: Experience in knowledge engineering and a passion for AI and data solutions.
The predicted salary is between 80000 - 100000 £ per year.
Job Description YOU ARE You are 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
