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Accenture

Advises businesses and runs their technology

Knowledge Engineer / Semantic Expert for AI

Natural Language Processing & LLMsConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • A bachelor's degree or equivalent minimum of 12 years of work experience is required; alternatively, an associate's degree requires a minimum of six years of equivalent work experience.
  • At least two of the listed qualifications are required: two or more years of experience with Knowledge Graph technologies such as RDF, SPARQL, LPG, or SHACL.
  • At least two of the listed qualifications are required: two or more years of experience with schema design, ontology management, and Knowledge Graph curation.
  • At least two of the listed qualifications are required: two or more years of experience designing and developing Knowledge Graph solutions and graph-based machine learning models, including functional and technical experience.
  • At least two of the listed qualifications are required: one or more end-to-end data pipeline implementations for AI applications, particularly those involving LLMs or similar models, including hands-on design and configuration.
  • At least two of the listed qualifications are required: two or more years of strong knowledge of relational databases, object stores, graph databases such as Stardog, Neo4J, or Amazon Neptune, and vector databases.

Responsibilities

  • Formulate real-world problems into practical, efficient, and scalable AI and Knowledge Graph problems.
  • Lead a team and provide guidance in exploring and implementing new methodologies, model-building techniques, and algorithms, applying them with appropriate architecture to solve real-world problems.
  • Design, evaluate, and maintain ontologies as needed for the problem.
  • Justify the business value of generative AI and Knowledge Graph approaches, and construct methodologies and data architectures that demonstrate their value.
  • Collaborate with business and technical teams, including users, use-case representatives, business owners, engineers, architects, and UI designers, to achieve end-to-end project development goals.
  • Build Knowledge Graph solutions that transform clients’ data architecture.
  • Design, develop, and implement AI and semantic solutions, ensuring that all components work together.
  • Work with project teams, team leaders, project delivery leads, and client stakeholders to create Data & AI offerings powered by graph-based technologies.
  • Develop relationships with clients and gain the trust of key advisors.
  • Make the business case for the semantic-layer solution recommended to the client.
  • Support Accenture sales efforts as needed.
  • Continue learning and developing Data & AI solutions, especially agentic technologies, and provide thought leadership on technology trends, opportunities, innovations, limitations, risks, and concerns.
  • Travel as required by business needs and client requirements; travel may range from 0% to 100%.

Desired Qualifications

  • Two or more years of hands-on experience with cloud platforms such as AWS, Azure, or GCP.
  • Two or more years of experience with Python, frameworks such as TensorFlow and PyTorch, and ETL pipeline tools such as Apache NiFi or Airflow.
  • Practical experience with natural language processing and/or search techniques.
  • Experience with prompt engineering and LLMs for enterprise-scale applications.
  • Team lead experience.
  • Experience collaborating across engineering, research, and product teams across multiple time zones.
  • External client-facing consulting experience.
  • A Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or a related field.
  • Broad experience in diverse machine learning techniques and agentic systems.

About the Company

Accenture

Advises businesses and runs their technology

Accenture advises large businesses and public agencies on strategy, builds their technology systems and runs ongoing operations. Its teams connect business planning with implementation, covering areas such as cloud migration, cybersecurity and customer experience. Consultants work with clients to redesign processes, while engineers integrate software from technology partners and maintain the resulting systems for multinational organizations. Clients pay for project work or continuing services, including application support and business processes such as finance and customer service. Accenture was founded in 1989 and has its headquarters in Dublin, Ireland.

Company size
10,001+
Company stage
IPO
Headquarters
Dublin, Ireland
Founded
1989

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