Senior Knowledge Management Engineer

CLA is a top 10 national professional services firm where our purpose is to create opportunities every day, for our clients, our people, and our communities through industry-focused wealth advisory, digital, audit, tax, consulting, and outsourcing services. Even with more than 8,500 people, 130 U.S. locations, and a global reach, we promise to know you and help you.

CLA is dedicated to building a culture that invites different beliefs and perspectives to the table, so we can truly know and help our clients, communities, and each other.

Our Perks:

• Flexible PTO (designed to offer flexible time away for you!)
• Up to 12 weeks paid parental leave
• Paid Volunteer Time Off
• Mental health coverage
• Quarterly Wellness stipend
• Fertility benefits
• Complete list of benefits here

CLA is growing and seeking to hire an experienced Senior Knowledge Engineer to join our talented Enterprise Technology team. The position offers growth, flexibility and a collaborative work environment.

How you’ll create opportunities in this Senior Knowledge Engineer role: This role is responsible for designing, developing, and maintaining knowledge graphs that enhance data integration, retrieval, and analysis. They work closely with cross-functional teams to ensure the effective capture, organization, and utilization of knowledge within the organization.

In this position you should have the following:

• Design, develop, and implement knowledge-based systems, including ontologies, taxonomies and knowledge graphs to support data integration and semantic search.

• Develop and optimize algorithms for knowledge graph construction and maintenance.

• Collaborate with data scientists and engineers to capture and model domain-specific knowledge.

• Develop and maintain knowledge repositories, ensuring data accuracy and consistency.

• Create and manage metadata standards and guidelines.

• Implement natural language processing (NLP) techniques to enhance knowledge retrieval and utilization.

• Implement and maintain ontologies, taxonomies, and schemas to ensure data consistency and interoperability.

• Conduct regular audits and updates of knowledge systems to ensure relevance and accuracy.

• Train machine learning models and fine-tune large language models (LLMs) for specific tasks, optimizing performance and accuracy.

• Contribute to the development of internal tools and frameworks that support the extraction, transformation and loading (ETL) processes for knowledge graph construction.

• Provide technical guidance and support to team members on knowledge graph-related projects.

• Stay current with advancements in knowledge graph technologies and best practices.

What you will need:

• 4 years of relevant experience required.
• Experience with knowledge management tools, semantic web technologies, and graph databases preferred.
• Bachelor's degree is required. Combination of relevant experience, education, and training may be accepted in lieu of degree.
• Degree in Computer Science, Data Analytics, Data Science, or related field preferred.
 

Technical Compentencias:

• Understanding of languages, such as SQL, GraphQL and Python
• Strong understanding of ontologies, taxonomies, and knowledge graphs.
• Experience with natural language processing (NLP) and machine learning techniques.
• Knowledge of data visualization tools and techniques.
• Familiarity with data integration and ETL processes.

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