Knowledge Graph Lead for Enterprise AI & LLMs

Accenture

Redmond (WA)

On-site

USD 150,000 - 190,000

Full time

8 days ago

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Job summary

Accenture in the United States seeks a Knowledge Engineer to translate real-world problems into scalable AI and Knowledge Graph solutions. You will build KG architectures, design and manage ontologies, and collaborate with business and technical teams to deliver end-to-end Data & AI offerings.

This role emphasizes leadership, client engagement, and the ability to justify the value of semantic layers to executives.

Qualifications

Bachelor’s degree or equivalent (minimum 12 years’ work experience). If Associate’s Degree, must have equivalent minimum 6-year work experience.
Minimum of 4 years of experience in designing and developing knowledge graph solutions and graph-based machine learning models, functional and technical experience required.
Minimum of 3 end-to-end data pipeline implementations for AI applications, particularly those involving LLMs or similar models, including hands-on design and configuration.
Minimum of 6 years strong knowledge of relational databases, object stores, graph databases (e.g. Stardog, Neo4J, Amazon Neptune), and vector databases.
Minimum of 6 years of experience in Knowledge Graph technologies (e.g. RDF, SPARQL, LPG, SHACL).
Minimum of 6 years of experience with schema design, ontology management, and Knowledge Graph curation.
Minimum of 6 years of managerial experience working with people with the ability to clearly explain the value of semantic layer and knowledge graphs to senior business and technology stakeholders, and proven track record selling and /or pre-sales and delivering data transformation programs and developing teams.

Responsibilities

Build Knowledge Graph solutions that transform clients’ data architecture.
Design, develop, and implement AI and semantic solutions and ensure that all the pieces work together seamlessly.
Work with the project team, team leaders, project delivery leads, and client stakeholders to create stand-out Data & AI offerings powered by graph-based technologies.
Develop strong relationships with clients and gain the trust of key advisors.
Make the business case for the semantic layer solution recommended to the client.
Pitch in on Accenture sales efforts when needed.
Continue to learn and develop cutting edge Data & AI solutions, especially agentic technologies, provide through leadership on technology trends, new opportunities and innovations, or foreseeable limitations, risks, and concerns.