At a Glance
- Tasks: Lead the development of innovative Knowledge Graph solutions and drive AI methodologies.
- Company: Join a forward-thinking tech company that values diversity and innovation.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Collaborative environment with strong client relationships and career advancement opportunities.
- Why this job: Shape the future of AI and make a real impact in the tech industry.
- Qualifications: Bachelor's degree and experience with 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.
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
As a Knowledge Engineering Manager at Accenture, you will thrive in a dynamic and inclusive work environment that champions innovation and collaboration. With access to cutting-edge technologies and a commitment to employee growth, you will lead a talented team in developing transformative AI solutions while enjoying opportunities for professional development and thought leadership. Our diverse culture not only fosters creativity but also ensures that every voice is heard, making Accenture an exceptional place to build a meaningful career.
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We think you need these skills to ace Knowledge Engineering Manager
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Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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