Knowledge Engineer Specialist

Accenture

Quick summary

Work type: On-site
Location: Houston, TXMilwaukeeDallas, TXColumbus, OHCincinnati, OH
Salary: $70,350–$205,800 / yr
Posted: 5 days ago
Nearby: 72 roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $169k

This role $138k

$53k most similar roles pay here $232k

This role pays less than 70% of similar roles. Most pay $126,800–$211,200 — the shaded band above. At the midpoint, this role pays about $138k versus about $169k 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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View all roles at Accenture

At a glance

TL;DR · Knowledge Engineer Specialist

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As a Knowledge Engineer at Accenture’s Advanced Data & AI team, you will lead and guide a team in exploring and implementing innovative methodologies and cutting-edge algorithms to solve complex business problems using generative AI and knowledge graphs. Your daily tasks include designing and developing scalable AI solutions, creating ontologies as needed, and justifying the value of these approaches to stakeholders. You will collaborate closely with cross-functional teams, including clients and technical experts, to deliver end-to-end project goals. The role requires expertise in Knowledge Graph technologies such as RDF, SPARQL, and LPG, schema design, ontology management, and hands-on experience with graph databases like Stardog or Neo4J. Bonus skills include proficiency in Python frameworks like TensorFlow and PyTorch, cloud platforms (AWS, Azure, GCP), and NLP techniques, making you a key player in driving innovation for enterprise-scale applications.

Skills

Knowledge_Graph SPARQL LPG SHACL RDF Ontology_Management Graph_Databases Stardog Neo4J Amazon_Neptune Python Tensorflow PyTorch Apache_NiFi Airflow Cloud_Platforms AWS Azure GCP NLP LLMs CI/CD

What you'll do

Lead the exploration and implementation of new AI methodologies and cutting-edge algorithms.
Design and maintain ontologies for complex business problems using Knowledge Graph technologies.
Justify and construct methodologies for innovative generative AI approaches in business contexts.
Develop seamless AI and semantic solutions that integrate with existing data architectures.
Create compelling business cases for implementing semantic layer solutions to clients.
Collaborate closely with cross-functional teams to achieve project development goals.

What we're looking for

Minimum 2 years of experience in Knowledge Graph technologies and schema design.
Strong knowledge of graph databases (e.g., Stardog, Neo4J) and vector databases.
Experience designing and developing end-to-end data pipelines for AI applications.
Hands-on experience with cloud platforms (AWS, Azure, GCP).
Proficiency in Python and frameworks like TensorFlow or PyTorch.

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