Knowledge Engineering Lead

You lead a significant knowledge engineering scope and function within a large program, actively contributing to thought leadership. You shape how a substantial body of work formulates real-world problems into scalable AI and KG solutions, setting 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, driving innovation by applying these techniques to new business problems, use cases and scenarios.

Key responsibilities:

• Lead the build of Knowledge Graph solutions that transform a client's data architecture within program scope.
• Direct the design, development and implementation of AI and semantic solutions, ensuring seamless integration.
• Collaborate with project leaders, delivery leads and client stakeholders to create standout, 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 Accenture sales and pre-sales efforts.
• Provide thought leadership on technology trends, new opportunities, innovations and foreseeable limitations, risks and concerns.

Requirements:

• Bachelor's degree or equivalent, plus at least 4 of the following:
• Minimum 3 years of experience with Knowledge Graph technologies (RDF, SPARQL, LPG, SHACL).
• Minimum 3 years of experience in schema design, ontology management and KG curation.
• Minimum 3 years of designing and developing KG solutions and graph-based ML models.
• Minimum 2 years of experience with end-to-end data pipeline implementations for AI applications.
• Minimum 4 years of experience with strong knowledge of relational databases, object stores, graph databases and vector databases.
• Minimum 2 years of experience in leading a team or workstream within a larger program.