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Knowledge Engineering Senior Analyst

ExperiencedNo visa sponsorship
Accenture logo

at Accenture

Consultancies

Posted 6 days ago

No clicks

**knowledge engineering senior analyst** will lead projects, driving end-to-end AI and knowledge graph solutions. They must have solid experience in knowledge graph lifecycle, from ingestion to deployment. Must-have skills: ontology design, generative AI, LLM, multi-modal models. Experience with data & AI solutions, strong collaborative skills, and ability to articulate technical concepts. Candidates should be eager to mentor junior engineers and stay current with emerging trends.

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
Not specified

Full Job Description

YOU ARE

You are a a strong individual contributor knowledge engineer growing into a team lead. You are well versed in the full knowledge graph development lifecycle. You formulate real-world problems into practical, efficient, scalable AI and Knowledge Graph solutions, working hands-on across the lifecycle from ingestion through modeling, curation, and deployment. You apply current methodologies, techniques, and algorithms with the right architecture, and begin to guide junior engineers on the project. You stay current with knowledge engineering, generative AI, LLM, and multi-modal models; look for opportunities to apply them to the problem at hand. You design, evaluate, and maintain ontologies as needed. You help articulate the value of generative AI and knowledge graph approaches for a given business problem. You share what they learn with the team. You collaborate with users, use case reps, engineers, architects, and UI designers to deliver their piece of an end-to-end solution.

THE WORK

  • Build Knowledge Graph components that contribute to transforming a client's data architecture.
  • Design, develop, and implement AI and semantic solutions; ensure their work integrates cleanly with the broader system.
  • Work alongside the project team and delivery leads.
  • Build solid working relationships with client counterparts on their workstream.
  • Help assemble the supporting evidence for the recommended semantic layer solution.
  • Support Accenture sales efforts when called on.
  • Keep developing skills in cutting-edge Data & AI solutions, especially agentic technologies, and shares with the team.

Knowledge Engineering Senior Analyst

Compensation

Not specified

City: Not specified

Country: Not specified

Accenture logo
Consultancies

6 days ago

No clicks

at Accenture

ExperiencedNo visa sponsorship

**knowledge engineering senior analyst** will lead projects, driving end-to-end AI and knowledge graph solutions. They must have solid experience in knowledge graph lifecycle, from ingestion to deployment. Must-have skills: ontology design, generative AI, LLM, multi-modal models. Experience with data & AI solutions, strong collaborative skills, and ability to articulate technical concepts. Candidates should be eager to mentor junior engineers and stay current with emerging trends.

Full Job Description

YOU ARE

You are a a strong individual contributor knowledge engineer growing into a team lead. You are well versed in the full knowledge graph development lifecycle. You formulate real-world problems into practical, efficient, scalable AI and Knowledge Graph solutions, working hands-on across the lifecycle from ingestion through modeling, curation, and deployment. You apply current methodologies, techniques, and algorithms with the right architecture, and begin to guide junior engineers on the project. You stay current with knowledge engineering, generative AI, LLM, and multi-modal models; look for opportunities to apply them to the problem at hand. You design, evaluate, and maintain ontologies as needed. You help articulate the value of generative AI and knowledge graph approaches for a given business problem. You share what they learn with the team. You collaborate with users, use case reps, engineers, architects, and UI designers to deliver their piece of an end-to-end solution.

THE WORK

  • Build Knowledge Graph components that contribute to transforming a client's data architecture.
  • Design, develop, and implement AI and semantic solutions; ensure their work integrates cleanly with the broader system.
  • Work alongside the project team and delivery leads.
  • Build solid working relationships with client counterparts on their workstream.
  • Help assemble the supporting evidence for the recommended semantic layer solution.
  • Support Accenture sales efforts when called on.
  • Keep developing skills in cutting-edge Data & AI solutions, especially agentic technologies, and shares with the team.