At a Glance
- Tasks: Lead the development of innovative Knowledge Graph solutions and AI methodologies.
- Company: Join a forward-thinking tech company focused on cutting-edge AI and data solutions.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and thought leadership.
- Why this job: Shape the future of AI while driving impactful projects and building strong client relationships.
- Qualifications: Bachelor's degree with experience in Knowledge Graph technologies and AI applications.
The predicted salary is between 60000 - 80000 £ per year.
You lead a significant knowledge engineering scope and function within a large program; actively contribute to thought leadership. You shape how a substantial body of work formulates real-world problems into scalable AI and KG solutions, and set the technical direction for that scope. You lead a team and guide exploration and implementation of new methodologies, model building techniques, and cutting‑edge algorithms. You remain at the forefront and drive innovation by applying these techniques to new business problems, use cases, and scenarios. You design, evaluate, and maintain ontologies, and establish the standards others follow. You justify the value to business and technology stakeholders, and construct the methodologies and data architectures that demonstrate it. You publish or present perspective beyond the immediate project. You work across business and technical teams to drive end‑to‑end delivery for their scope.
THE WORK
- Leads the build of Knowledge Graph solutions that transform a client’s data architecture within program scope.
- Directs the design, development, and implementation of AI and semantic solutions, ensuring all the pieces work together seamlessly.
- Works with project leaders, delivery leads, and client stakeholders to create stand‑out, graph-powered Data & AI offerings.
- Develops strong client relationships and earns the trust of key advisors.
- Makes the business case for the semantic layer solution recommended to the client.
- Contributes meaningfully to Accenture sales and pre‑sales efforts.
- Provides thought leadership on technology trends, new opportunities, innovations, and foreseeable limitations, risks, and concerns.
EDUCATION
- Bachelor's degree or equivalent
Basic (required) Qualification
- Bachelor's degree or equivalent, plus at least 4 of the following:
- Experience with Knowledge Graph technologies (RDF, SPARQL, LPG, SHACL)
- Solid experience in schema design, ontology management, and KG curation
- Proven experience in designing and developing KG solutions and graph‑based ML models (functional + technical)
- Experience with end‑to‑end data pipeline implementations for AI applications (esp. LLMs), with hands‑on design and configuration
- Strong knowledge/working experience of relational databases, object stores, graph databases (Stardog, Neo4J, Amazon Neptune), and vector databases
Knowledge Engineering Manager employer: Accenture UK & Ireland
As a Knowledge Engineering Manager at our company, you will thrive in an innovative environment that champions cutting-edge AI and Knowledge Graph solutions. We offer a collaborative work culture that prioritises employee growth through continuous learning opportunities and thought leadership initiatives, all while being part of a dynamic team that drives impactful change for our clients. Located in a vibrant area, our company provides unique advantages such as access to industry-leading resources and a network of experts, making it an exceptional place for those seeking meaningful and rewarding employment.
Contact Details:
Accenture UK & Ireland Recruitment Team
