Knowledge Engineer / Semantic Expert for AI Sr Manager

Accenture

Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$132,500–$338,300 / yr
Posted
8 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $207k
This role $235k
$108k most similar roles pay here $363k

This role pays more than 70% of similar roles. Most pay $168,593–$246,150 — the shaded band above. At the midpoint, this role pays about $235k versus about $207k for comparable roles.

Based on 240 similar postings.

Employer

About Accenture

Accenture is a leading global professional services company specializing in IT, strategy, consulting, and operations, with a strong focus on digital transformation, cloud computing, and artificial intelligence.

Accenture currently has 131 open roles on FindRole.

Listed pay typically runs $94,400–$235,100 across 93 roles with salary data.

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At a glance

TL;DR · Knowledge Engineer / Semantic Expert for AI Sr Manager

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As a Knowledge Engineer at Accenture’s Advanced Data & AI team, you will lead a team of professionals in formulating real-world problems into practical and scalable AI solutions using knowledge graphs. Your daily responsibilities include exploring new methodologies, building models with cutting-edge algorithms, and designing ontologies to solve complex business challenges. You will collaborate closely with cross-functional teams to develop innovative data architectures that demonstrate the value of semantic layer solutions to clients. With a strong background in Knowledge Graph technologies such as RDF, SPARQL, and SHACL, you must have extensive experience in relational databases, graph databases like Stardog or Neo4J, and cloud platforms including AWS, Azure, and GCP. Additionally, proficiency in Python frameworks like TensorFlow and PyTorch is essential for building robust ETL pipelines and AI applications involving large language models (LLMs). This role demands a deep understanding of NLP techniques and the ability to effectively communicate technical solutions to senior stakeholders.

Skills

KnowledgeGraph Python Tensorflow PyTorch Neo4J AmazonNeptune SPARQL RDF SHACL ApacheNiFi Airflow AWS Azure GCP CI/CD NLP LLMs ETL GraphQL

What you'll do

  • Lead the exploration and implementation of new AI methodologies and cutting-edge algorithms.
  • Design and maintain ontologies for complex knowledge graph solutions.
  • Justify the business value of innovative generative AI approaches to stakeholders.
  • Develop end-to-end data pipelines for AI applications, especially those involving LLMs.
  • Build strong client relationships and make the case for semantic layer solutions.
  • Continuously learn and provide leadership on emerging Data & AI trends and technologies.

What we're looking for

  • Minimum 4 years of experience in designing and developing knowledge graph solutions.
  • At least 6 years of hands-on experience with relational databases, object stores, and graph databases.
  • Strong knowledge of Knowledge Graph technologies including RDF, SPARQL, LPG, SHACL.
  • Proven ability to explain the value of semantic layer and knowledge graphs to senior stakeholders.
  • Minimum 3 end-to-end data pipeline implementations for AI applications involving LLMs.

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