Engineering Manager

YOU AREYou 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 WORKLeads 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

About Accenture Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. 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 one of the world’s leaders in helping drive that change, with strong ecosystem relationships.

We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360 value, enable us to help our clients reinvent and build trusted, lasting relationships.

We measure our success by the 360 value we create for our clients, each other, our shareholders, partners and communities.

Visit us at  Equal Employment Opportunity Statement      We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

Summary

Location:

London Type:
Full time