Knowledge Engineer & Semantic AI Architect

Accenture PLC; Mountain View (CA); Presencial; USD 74 000 - 220 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Medical, dental, vision

401(k) plan

Paid holidays & PTO

Resumo da oferta

Accenture PLC is hiring a Knowledge Engineer to translate real-world problems into scalable AI and Knowledge Graph solutions. You will lead a team, explore new methodologies, and apply cutting-edge models to business challenges.

You will stay at the forefront of knowledge engineering, generative AI, LLMs, and multimodal models, structuring ontologies, evaluating value, and collaborating with business and technical stakeholders across time zones. Travel may be required.

Qualificações

• Bachelor's degree or equivalent (minimum 12 years' work experience) or 6 years with Associate's Degree.
• Minimum of 2 years in Knowledge Graph technologies (RDF, SPARQL, LPG, SHACL).
• Minimum of 2 years in schema design, ontology management, and KG curation.
• Minimum of 2 years in designing and developing KG solutions and graph-based ML models.
• Minimum of 1 end-to-end data pipeline implementation for AI apps with LLMs.

Responsabilidades

• Lead a team and guide exploration of new methodologies and model building techniques.
• Stay at the forefront of knowledge engineering, generative AI, LLMs, and multi-modal models.
• Design, evaluate, and maintain ontologies as needed.
• Justify value of AI and knowledge graph approaches with clear methodologies and architectures.
• Collaborate with business and technical teams across time zones to achieve end-to-end projects.

Conhecimentos

Knowledge Graphs

Ontology design

LLM integration

Team leadership

Cloud platforms

Formação académica

Bachelor's degree or equivalent

PhD in related field (bonus)

Ferramentas

Stardog

Neo4J

Amazon Neptune

Python (Tensorflow / PyTorch)

Descrição da oferta de emprego

Accenture PLC is hiring a Knowledge Engineer to translate real-world problems into scalable AI and Knowledge Graph solutions. You will lead a team, explore new methodologies, and apply cutting-edge models to business challenges.

You will stay at the forefront of knowledge engineering, generative AI, LLMs, and multimodal models, structuring ontologies, evaluating value, and collaborating with business and technical stakeholders across time zones. Travel may be required.