Knowledge Engineering Manager

Salary: £61,000 - 101,000 per year

Requirements:

• Bachelors degree or equivalent.
• At least 4 of the following:
• Experience with Knowledge Graph technologies, including RDF, SPARQL, LPG, and SHACL.
• Solid experience in schema design, ontology management, and knowledge graph curation.
• Proven experience in designing and developing knowledge graph solutions and graph-based ML models.
• Experience with end-to-end data pipeline implementations for AI applications, especially LLMs, including hands-on design and configuration.
• Strong knowledge or working experience of relational databases, object stores, graph databases such as Stardog, Neo4j, and Amazon Neptune, and vector databases.

Responsibilities:

• Lead a significant knowledge engineering scope and function within a large program.
• Contribute to thought leadership and publish or present perspectives beyond the immediate project.
• Shape how a substantial body of work formulates real-world problems into scalable AI and knowledge graph solutions.
• Set the technical direction for the scope and lead a team.
• Guide exploration and implementation of new methodologies, model-building techniques, and cutting-edge algorithms.
• Drive innovation by applying these techniques to new business problems, use cases, and scenarios.
• Design, evaluate, and maintain ontologies and establish standards for others to follow.
• Justify value to business and technology stakeholders and construct methodologies and data architectures that demonstrate it.
• Work across business and technical teams to drive end-to-end delivery.
• Lead the build of knowledge graph solutions that transform a clients data architecture within program scope.
• Direct the design, development, and implementation of AI and semantic solutions.
• Work with project leaders, delivery leads, and client stakeholders to create graph-powered Data & AI offerings.
• Develop strong client relationships and earn the trust of key advisors.
• Make the business case for the semantic layer solution recommended to the client.
• Contribute to sales and pre-sales efforts.
• Provide thought leadership on technology trends, new opportunities, innovations, and foreseeable limitations, risks, and concerns.

Technologies:

• AI
• Cloud
• Neo4J
• RDF

More:

hackajob is partnering directly with Accenture to hire for this role. We are a leading global professional services company helping the worlds leading businesses, governments, and other organizations build their digital core, optimize operations, accelerate revenue growth, and enhance citizen services. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data, and AI with industry experience, functional expertise, and global delivery capability. Our services span Strategy & Consulting, Technology, Operations, Industry X, and Song, and our culture of shared success and commitment to creating 360 value help us build trusted, lasting relationships. We measure success by the 360 value we create for our clients, each other, our shareholders, partners, and communities. We are an equal opportunity employer and value diversity, which helps us better serve our clients and communities.

last updated 39 week of 2026