Senior Knowledge 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 Information Technology team. The position offers growth, flexibility and a collaborative work environment.

In this position you should have the following; excellent interpersonal skills with the ability to communicate at all levels. Strong problem solving and creative skills and the ability to exercise sound judgment. Most important, demonstrate a high level of integrity and dependability with a strong sense of urgency and results-orientation.

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.

How you’ll create opportunities in this Senior Knowledge Engineer role:

• 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 experience required
  • Experience with knowledge management tools, semantic web technologies, and graph databases preferred.

• Bachelor's degree or a combination of relevant experience and training may be considered in lieu of a degree.

The wage range for this position is:

Minneapolis, MN $110,098 - $165,147

Factors such as geography, experience, education, skills, and knowledge may impact position of pay within the range. 

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Equal Opportunity Employer /AA Employer/Minorities/Women/Protected Veterans/Individuals with Disabilities.
 
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Wellness at CLA

To support our CLA family members, we focus on their physical, financial, social, and emotional well-being and offer comprehensive benefit op