AI Knowledge Engineer [Remote]

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI Knowledge Engineer based in the United States.

This role is focused on building the knowledge foundation that enables reliable and scalable AI-powered solutions.
The AI Knowledge Engineer will transform organizational information into structured, accessible, and reusable knowledge assets.
You will help improve how AI systems retrieve, understand, and apply critical business knowledge across applications and workflows.
The position combines knowledge management, content architecture, governance, and emerging AI technologies.
You will collaborate with business stakeholders to capture expertise, improve information quality, and support AI adoption.
This is an opportunity to shape the future of enterprise knowledge by making information more intelligent, searchable, and actionable.

Accountabilities:

The AI Knowledge Engineer will be responsible for designing, organizing, and maintaining the knowledge structures that support AI capabilities. This role requires strong expertise in information organization, content governance, and collaboration with cross-functional teams to ensure AI systems have accurate and effective knowledge sources.

• Build and maintain a centralized, scalable knowledge foundation that supports AI-powered experiences and enterprise applications.
• Audit, organize, and consolidate existing knowledge assets to improve accessibility, consistency, and usability.
• Capture institutional knowledge and critical business information during periods of transition, integration, or organizational change.
• Structure content and documentation so it can be effectively leveraged by AI retrieval systems, agents, connectors, and applications.
• Define and maintain taxonomy, classification frameworks, and content governance standards.
• Create reusable documentation patterns and knowledge artifacts that improve long-term maintainability.
• Ensure knowledge assets are accurate, structured, searchable, and aligned with organizational standards.
• Optimize content for search, retrieval, and AI-driven use cases to improve response quality and reliability.
• Partner with stakeholders and knowledge owners to maintain relevant and up-to-date information.
• Continuously improve knowledge management processes, quality standards, and AI enablement practices.

Requirements:

The ideal candidate will have experience in knowledge management, content architecture, documentation strategy, or related disciplines, with the ability to organize complex information for modern AI applications. Strong attention to detail, analytical thinking, and stakeholder collaboration skills are essential.

• Bachelor’s degree in Knowledge Management, Information Science, Library Science, Communications, Business, Information Systems, or a related field, or equivalent professional experience.
• 5–8 years of progressive experience in knowledge management, content architecture, documentation, taxonomy design, or similar areas.
• Demonstrated ability to structure information for search, retrieval, and AI-supported workflows.
• Strong understanding of content organization principles, metadata, classification systems, and governance practices.
• Experience capturing institutional knowledge and creating reusable documentation resources.
• Ability to collaborate effectively with business stakeholders, subject matter experts, and technical teams.
• Strong quality orientation with excellent attention to detail and organizational skills.
• Familiarity with AI ecosystems and how knowledge enables AI skills, connectors, agents, and applications is strongly preferred.
• Ability to work independently while managing multiple knowledge initiatives and priorities.

Benefits:

• Competitive salary based on skills, experience, qualifications, and location.
• Eligibility for incentive awards based on individual and business performance.
• Comprehensive benefits package supporting health, financial security, and well-being.
• Remote work opportunity available within the United States.
• Opportunities to contribute to innovative AI initiatives and emerging technology projects.
• Professional growth opportunities within a forward-thinking technology environment.
• Supportive workplace culture focused on collaboration, inclusion, and continuous learning.
• Equal opportunity workplace committed to valuing diverse backgrounds and perspectives.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.