Lead Knowledge Graph Engineer — AI & Data Architecture

Accenture; New York (NY); On-site; USD 123,000 - 338,000; Full time

Job summary

Accenture is seeking a Knowledge Engineer to transform clients’ data architecture with Knowledge Graphs and AI solutions. You will lead cross‑functional teams, design graph‑based ML models, and articulate business value of semantic layers to executives, while driving end‑to‑end project delivery.

You will collaborate with business and technical stakeholders, build enduring client relationships, and help shape data transformation programs while staying ahead on agentic AI trends and risk

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 implementation 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.

Skills

Knowledge Graph

LLM

Team leadership

Data pipelines

Graph databases

Ontology management

Stakeholder communication

Sales/pre-sales

Education

Bachelor’s degree or equivalent

Tools

Stardog

Neo4J

Amazon Neptune

SPARQL

RDF

SHACL

Job description

Accenture is seeking a Knowledge Engineer to transform clients’ data architecture with Knowledge Graphs and AI solutions. You will lead cross‑functional teams, design graph‑based ML models, and articulate business value of semantic layers to executives, while driving end‑to‑end project delivery.

You will collaborate with business and technical stakeholders, build enduring client relationships, and help shape data transformation programs while staying ahead on agentic AI trends and risk