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Knowledge Engineer / Semantic Expert for AI

at Accenture

Back to all Data Science / AI / ML jobs
Accenture logo
Consultancies

Knowledge Engineer / Semantic Expert for AI

at Accenture

Tech LeadNo visa sponsorshipData Science/AI/ML

Posted 6 days ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
Not specified

Knowledge Engineer / Semantic Expert for AI at Accenture, focusing on turning real-world problems into scalable AI and Knowledge Graph solutions. Leads a team, guides methodology exploration, model building, and ontology design to address real-world use cases. Partners with business and technical stakeholders to justify the value of semantic layers and generative AI, designing data architectures and end-to-end AI solutions. Builds client relationships, supports sales efforts when needed, and may travel as required.

We Are:

Accenture is helping companies use generative AI and semantic layer to reinvent their enterprise and optimize business functions for breakthrough innovation and competitive advantage. With over 1,600 professionals dedicated to generative AI, leveraging the depth and experience of more than 40,000 AI and data professionals across the company our Advanced Data & AI team brings together our Experienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem.

You Are:

As a Knowledge Engineer, you formulate real-world problems into practical, efficient, and scalable AI and Knowledge Graph problems.

  • You lead a team and provide guidance to explore and implement new methodologies, model building techniques, and cutting-edge algorithms, and applying these techniques with the right architecture to solve real-world problems.

  • You have a deep understanding and ability to remain at the forefront of knowledge engineering, generative AI, LLM, and multi-modal models (with a focus on driving innovation by applying these techniques to new business problems, use cases, and scenarios).

  • As needed by the specific problem, you design, evaluate, and maintain ontologies.

  • As a significant part of this role, you will be justifying the value of innovative generative AI and knowledge graph approaches in the business problems, and you'll be expected to construct methodologies and data architectures that clearly demonstrate their value.

  • You'll also work collaboratively with teams from both the business and technical side, including users, use case representatives, business owners, engineers, architects, and UI designers, to achieve end-to-end project development goals.

The Work:

  • 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.

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

Knowledge Engineer / Semantic Expert for AI

at Accenture

Back to all Data Science / AI / ML jobs
Accenture logo
Consultancies

Knowledge Engineer / Semantic Expert for AI

at Accenture

Tech LeadNo visa sponsorshipData Science/AI/ML

Posted 6 days ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
Not specified

Knowledge Engineer / Semantic Expert for AI at Accenture, focusing on turning real-world problems into scalable AI and Knowledge Graph solutions. Leads a team, guides methodology exploration, model building, and ontology design to address real-world use cases. Partners with business and technical stakeholders to justify the value of semantic layers and generative AI, designing data architectures and end-to-end AI solutions. Builds client relationships, supports sales efforts when needed, and may travel as required.

We Are:

Accenture is helping companies use generative AI and semantic layer to reinvent their enterprise and optimize business functions for breakthrough innovation and competitive advantage. With over 1,600 professionals dedicated to generative AI, leveraging the depth and experience of more than 40,000 AI and data professionals across the company our Advanced Data & AI team brings together our Experienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem.

You Are:

As a Knowledge Engineer, you formulate real-world problems into practical, efficient, and scalable AI and Knowledge Graph problems.

  • You lead a team and provide guidance to explore and implement new methodologies, model building techniques, and cutting-edge algorithms, and applying these techniques with the right architecture to solve real-world problems.

  • You have a deep understanding and ability to remain at the forefront of knowledge engineering, generative AI, LLM, and multi-modal models (with a focus on driving innovation by applying these techniques to new business problems, use cases, and scenarios).

  • As needed by the specific problem, you design, evaluate, and maintain ontologies.

  • As a significant part of this role, you will be justifying the value of innovative generative AI and knowledge graph approaches in the business problems, and you'll be expected to construct methodologies and data architectures that clearly demonstrate their value.

  • You'll also work collaboratively with teams from both the business and technical side, including users, use case representatives, business owners, engineers, architects, and UI designers, to achieve end-to-end project development goals.

The Work:

  • 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.

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

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