Lead Knowledge Graph & AI Engineer

Accenture; Oklahoma City (OK); On-site; USD 150,000 - 210,000; Full time

Job summary

Accenture is seeking a Knowledge Engineer to translate real-world problems into scalable AI and Knowledge Graph solutions. You will lead a team, design ontologies, and apply cutting‑edge LLM and multi‑modal techniques to business use cases, collaborating with business and technical stakeholders to deliver end‑to‑end data & AI offerings powered by graph technologies.

You will travel as needed and drive value by articulating the business case for semantic layer solutions, guiding project delivery,

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
• 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 experience with managerial experience explaining the value of semantic layer and knowledge graphs to senior stakeholders, and pre-sales/delivery experience

Responsibilities

• Build Knowledge Graph solutions that transform clients’ data architecture
• Design, develop, and implement AI and semantic solutions and ensure components work together
• Collaborate with project teams and client stakeholders to create stand-out Data & AI offerings powered by graph-based technologies
• Develop strong relationships with clients and gain 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, provide leadership on trends, opportunities, and risks

Skills

Team leadership

Knowledge engineering

Generative AI

LLM

Multi-modal models

Ontology design

Business impact communication

Education

Bachelor's degree or equivalent

Associate’s degree equivalence minimum 6 years

PhD in CS/EE/Math (bonus)

Tools

Stardog

Neo4J

Amazon Neptune

Python

TensorFlow

PyTorch

NiFi

Airflow

Job description

Accenture is seeking a Knowledge Engineer to translate real-world problems into scalable AI and Knowledge Graph solutions. You will lead a team, design ontologies, and apply cutting‑edge LLM and multi‑modal techniques to business use cases, collaborating with business and technical stakeholders to deliver end‑to‑end data & AI offerings powered by graph technologies.

You will travel as needed and drive value by articulating the business case for semantic layer solutions, guiding project delivery,