Knowledge Graph Engineer & AI Semantic Lead

Accenture

Arlington (VA)

On-site

USD 68,000 - 203,000

Full time

9 days ago

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Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

401(k) plan

Paid holidays

Job summary

Accenture is seeking a Knowledge Engineer to translate real-world problems into scalable AI and Knowledge Graph solutions. You will lead with methodologies, design ontologies, and collaborate across business and technical teams to deliver end-to-end Data & AI projects.

Travel may be required; candidates should have strong experience with graph databases, ML models, and cloud platforms. This role resides within Accenture's Advanced Data & AI team, with a pathway to drive Innovation across client

Qualifications

Bachelor's degree or equivalent (minimum 12 years' work experience).
2+ years of experience with Knowledge Graph technologies (e.g. RDF, SPARQL, LPG, SHACL).
2+ years of schema design, ontology management, and Knowledge Graph curation.
2+ years of experience designing and developing knowledge graph solutions and graph-based ML models.
1 end-to-end data pipeline implementation for AI applications, including LLMs.
2+ years knowledge of relational databases, object stores, graph databases, and vector databases.

Responsibilities

Build Knowledge Graph solutions that transform clients’ data architecture.
Design, develop, and implement AI and semantic solutions with all pieces working together seamlessly.
Collaborate with project team, leaders, delivery leads, and client stakeholders to create AI offerings.
Develop strong client relationships and gain advisory trust.
Make the business case for semantic layer solutions to clients.
Pitch in on Accenture sales efforts when needed.
Learn and develop cutting-edge Data & AI solutions, including agentic technologies, and lead on trends and opportunities.