Lead Knowledge Engineer: AI & Semantic Graphs

Accenture PLC; Morristown (NJ); On-site; USD 79,000 - 220,000; 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, explore new methodologies, and partner with business and tech stakeholders to deliver end-to-end data & AI initiatives.

You will design ontologies, justify innovative generative AI approaches, and contribute to sales efforts. Travel 0-100% may be required depending on client needs.

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 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 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
• Bonus Points: 2+ years on cloud platforms (AWS, Azure, GCP)
• Bonus Points: 2+ years of Python with TensorFlow/PyTorch and ETL tools (NiFi, Airflow)
• Bonus Points: NLP and/or Search techniques
• Bonus Points: Prompt engineering and LLMs for enterprise-scale applications
• Bonus Points: Team lead experience
• Bonus Points: Collaboration across time zones with engineering, research, and product teams
• Bonus Points: External client-facing consulting experience
• Bonus Points: PhD in CS/EE/Math or related field
• Bonus Points: Broad experience in diverse ML techniques and agentic systems

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 tech

Schema design

Graph ML models

LLMs / AI pipelines

End-to-end data pipelines

Relational & Graph DBs

Education

Bachelor's degree or equivalent

Associate’s degree with 6+ years experience

Tools

Stardog

Neo4J

Amazon Neptune

Vector databases

Python

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 will lead a team, explore new methodologies, and partner with business and tech stakeholders to deliver end-to-end data & AI initiatives.

You will design ontologies, justify innovative generative AI approaches, and contribute to sales efforts. Travel 0-100% may be required depending on client needs.