Knowledge Graph Architect for Enterprise AI and LLMs

Accenture

Culver City (CA)

On-site

USD 140,000 - 200,000

Full time

8 days ago

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Job summary

Accenture is seeking a Knowledge Engineer to translate real-world problems into scalable AI and knowledge graph solutions. You will lead a team, define architectures, and collaborate with business and technical stakeholders to deliver end‑to‑end projects.

The role requires deep knowledge of knowledge graphs, NLP, LLMs, and cloud platforms, with travel varying. Accenture offers a comprehensive benefits package and a chance to shape enterprise AI strategies.

Qualifications

Bachelor's degree or equivalent; minimum 12 years' work experience.
Minimum 4 years designing and developing knowledge graph solutions.
Minimum 3 end-to-end data pipeline implementations for AI applications.
Minimum 6 years experience with relational, graph, and vector databases.
Minimum 6 years in Knowledge Graph technologies (RDF, SPARQL, LPG, SHACL).
Minimum 6 years with ontology management and KG curation.
Minimum 6 years managerial experience and ability to explain value to stakeholders.

Responsibilities

Build Knowledge Graph solutions that transform clients’ data architecture.
Design, develop, and implement AI and semantic solutions and ensure integration.
Collaborate with project teams to create graph-based Data & AI offerings.
Develop strong client relationships and gain advisor trust.
Make the business case for semantic layer solutions to clients.
Pitch in on Accenture sales efforts when needed.
Continue to learn and lead on Data & AI trends and opportunities.