Knowledge Engineer / Semantic Expert for AI

What you'll do

• Translate real-world business problems into scalable AI and Knowledge Graph technical requirements.
• Lead a team to research and implement new methodologies, model building techniques, and algorithms.
• Design, evaluate, and maintain ontologies as required by specific project needs.
• Build Knowledge Graph solutions to transform client data architectures and ensure seamless integration of semantic tools.
• Construct data architectures and methodologies that demonstrate the business value of generative AI and knowledge graphs.
• Develop and present the business case for recommended semantic layer solutions to clients.
• Support Accenture sales efforts by pitching technical capabilities and innovative solutions to potential clients.
• Monitor and provide leadership on emerging trends in agentic technologies, LLMs, and multi-modal models.

What we're looking for

• Hold a Bachelor's degree or equivalent with experience, or an Associate's degree with experience.
• Possess at least 2 years of experience in Knowledge Graph technologies such as RDF, SPARQL, LPG, and SHACL.
• Have at least 2 years of experience in schema design, ontology management, and Knowledge Graph curation.
• Have at least 2 years of experience designing and developing knowledge graph solutions and graph-based machine learning models.
• Possess at least 2 years of experience with relational databases, object stores, graph databases, and vector databases.
• Complete at least one end-to-end data pipeline implementation for AI applications involving LLMs or similar models.
• Experience with Python, cloud platforms (AWS, Azure, GCP), and frameworks like TensorFlow or PyTorch is preferred.
• Demonstrate strong collaboration skills, team leadership experience, and a background in client-facing consulting.