Knowledge Engineer Specialist

About the role

You are a Knowledge Engineer responsible for formulating real-world problems into practical, efficient, and scalable AI and Knowledge Graph problems. You lead a team and provide guidance on exploring and implementing new methodologies, model building techniques, and cutting-edge algorithms. You apply these techniques with the right architecture to solve real-world problems. You design, evaluate, and maintain ontologies and justify the value of innovative generative AI and knowledge graph approaches in business problems. You collaborate with teams from both the business and technical sides to achieve end-to-end project development goals.

Responsibilities

• Build Knowledge Graph solutions that transform clients' data architecture.
• Design, develop, and implement AI and semantic solutions ensuring seamless integration.
• Collaborate with project teams, leaders, and stakeholders to create standout Data & AI offerings powered by graph-based technologies.
• Establish strong client relationships and gain the trust of key advisors.
• Construct the business case for the semantic layer solution recommended to the client.
• Pitch in on Accenture sales efforts when needed.
• Continuously learn and develop cutting-edge Data & AI solutions, especially in agentic technologies, through leadership on technology trends, new opportunities, and innovations, or foreseeable limitations, risks, and concerns.

Requirements

• Bachelor's degree or equivalent (minimum 12 years work experience) or Associate’s Degree with minimum 6 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.
• Strong knowledge of relational databases, object stores, graph databases (e.g., Stardog, Neo4J, Amazon Neptune), and vector databases.

Qualifications

• Minimum of 2 years of experience with Python, including frameworks like Tensorflow, PyTorch, and tools for building ETL pipelines (e.g., Apache NiFi, Airflow).
• Practical experience with NLP and/or Search techniques, prompt engineering, and LLMs for enterprise-scale applications.
• Team lead experience and strong collaboration skills with the ability to work across engineering, research, and product teams across multiple time zones.
• Broad experience in diverse ML techniques and agentic systems.

Skills

• Deep understanding and ability to remain at the forefront of knowledge engineering, generative AI, LLM, and multi-modal models.
• Experience with cloud platforms (AWS, Azure, GCP).

Benefits

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below. We anticipate this job posting will be posted until 07/27/2026.

Pay

Annual Salary Range: California $70,350 to $205,800

Schedule

Travel may be required for this role. The amount of travel will vary from 0% to 100% depending on business need and client requirements.

Additional Information

For details, view a copy of the Accenture Equal Opportunity Statement. For additional important information, please click here.