Lead Knowledge Graph & AI Semantics Engineer

Accenture; Milwaukee (WI); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Travel opportunities

Job summary

Accenture is seeking a Knowledge Engineer to translate real-world problems into scalable AI and Knowledge Graph solutions. You’ll lead and guide teams, apply cutting‑edge algorithms, and design ontologies to justify the value of our approaches for business problems.

Collaborate with business and technical teams to deliver end‑to‑end Data & AI projects and drive client outcomes. You’ll work with knowledge graphs, LLMs, and agentic technologies, building robust data architectures and ensuring

Qualifications

• Bachelor's degree or equivalent (minimum 12 years' work experience).
• Minimum of 2 years of experience in Knowledge Graph technologies (e.g. RDF, SPARQL, LPG, SHACL)
• Minimum of 2 years of experience with schema design, ontology management, and Knowledge Graph curation.
• Minimum of 2 years of experience in designing and developing knowledge graph solutions and graph‑based machine learning models, functional and technical experience required.
• Minimum of 1 end‑to‑end data pipeline implementation for AI applications, particularly those involving LLMs or similar models, including hands‑on design and configuration
• Minimum of 2 year and strong knowledge of relational databases, object stores, graph databases (e.g. Stardog, Neo4J, Amazon Neptune), and vector databases

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

RDF

SPARQL

LPG

SHACL

Ontology design

Graph curation

Data pipelines

Relational DBs

Graph databases

Python

NLP

Prompt engineering

Team lead

Client-facing

ML techniques

PhD

TensorFlow

PyTorch

Apache NiFi

Airflow

Education

Bachelor's degree or equivalent

Associate’s degree with equivalent 6-year experience

Tools

TensorFlow

PyTorch

Apache NiFi

Airflow

Job description

Accenture is seeking a Knowledge Engineer to translate real-world problems into scalable AI and Knowledge Graph solutions. You’ll lead and guide teams, apply cutting‑edge algorithms, and design ontologies to justify the value of our approaches for business problems.

Collaborate with business and technical teams to deliver end‑to‑end Data & AI projects and drive client outcomes. You’ll work with knowledge graphs, LLMs, and agentic technologies, building robust data architectures and ensuring