Enterprise Knowledge Graph Engineer for AI Solutions

Information Technology Senior Management Forum

New York (NY)

On-site

USD 123,000 - 338,000

Full time

14 days+

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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 teams, explore advanced methodologies, and apply multi‑modal AI techniques to business use cases, designing ontologies and modeling data architectures.

Travel may be required to deliver end-to-end data and AI offerings leveraging graph tech. You’ll collaborate with business and technical teams to justify the value of semantic layers and drive innovative data

Qualifications

Bachelor’s degree or equivalent (minimum 12 years’ work experience).
Minimum of 4 years designing and developing knowledge graph solutions.
Minimum of 3 end‑to‑end data pipeline implementations for AI apps.
Minimum of 6 years experience with relational/graph databases and knowledge graphs.
Minimum of 6 years of Knowledge Graph technologies and ontology management.
Minimum of 6 years of managerial experience with stakeholders and pre‑sales delivery.

Responsibilities

Build Knowledge Graph solutions that transform clients’ data architecture.
Design, develop, and implement AI and semantic solutions that integrate smoothly.
Collaborate with project teams and client stakeholders to create data & AI offerings.
Develop relationships with clients and articulate the business value of semantic layers.