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Knowledge Architect Jobs (NOW HIRING)

Strong knowledge of architectural building systems, construction methodology, materials, sustainability, integrated design, and LEED guidelines * Ability to lead teams, mentor staff, and manage ...

The Team The AI Data & Knowledge Director owns the strategy, design, and operations of the data and ... How You Will Contribute Data Layer Architecture * Lead strategy, design, build and operations of ...

The platform integrates a Snowflake-backed data lake, dual-graph knowledge architecture (Neo4j), and a governed LLM advisor, all exposed via streaming chat and voice. The stack includes a React ...

The platform integrates a Snowflake-backed data lake, dual-graph knowledge architecture (Neo4j), and a governed LLM advisor, all exposed via streaming chat and voice. The stack includes a React ...

Project Architect

Dallas, TX

$82K - $109K/yr

Project Architect - Dallas, TX Are you an experienced architect ready to take ownership of ... This is an opportunity to work in a collaborative studio environment where your technical knowledge ...

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How much do knowledge architect jobs pay per hour?

As of Jun 30, 2026, the average hourly pay for knowledge architect in the United States is $57.46, according to ZipRecruiter salary data. Most workers in this role earn between $41.11 and $76.44 per hour, depending on experience, location, and employer.

What is a Knowledge Architect?

A Knowledge Architect is a professional responsible for designing, organizing, and managing an organization’s information and knowledge assets. Their role involves creating frameworks and systems that enable efficient knowledge sharing, retrieval, and use across the company. They work closely with IT, subject matter experts, and business leaders to ensure that valuable information is accessible and structured for decision-making and innovation. Knowledge Architects often use tools such as knowledge management platforms, taxonomies, and metadata systems to achieve these goals.

What type of architect gets paid most?

Among architecture roles, enterprise or solutions architects in the IT and technology sectors tend to earn the highest salaries due to their specialized skills in designing complex systems and infrastructure. In traditional architecture, commercial and healthcare architects often have higher pay compared to residential architects, reflecting project scale and complexity. Salary levels also depend on experience, certifications, and geographic location.

What does a knowledge architect do?

A knowledge architect designs and manages organizational information systems to improve data accessibility and retrieval. They develop taxonomies, ontologies, and metadata schemas, often using tools like knowledge management software, to ensure information is structured and easily findable for users and decision-makers.

How does a Knowledge Architect typically collaborate with cross-functional teams to implement knowledge management solutions?

A Knowledge Architect works closely with teams such as IT, business analysts, and subject matter experts to design and implement knowledge management systems that meet organizational needs. They facilitate workshops, gather requirements, and ensure that the knowledge structure aligns with business objectives. Regular meetings and ongoing feedback loops are essential to ensure that solutions are user-friendly and effective. This collaborative approach not only ensures smooth adoption but also helps in identifying knowledge gaps and improving content quality.

What are the key skills and qualifications needed to thrive as a Knowledge Architect, and why are they important?

To thrive as a Knowledge Architect, you need expertise in information management, data modeling, taxonomy design, and typically a degree in information science or a related field. Familiarity with content management systems (CMS), enterprise knowledge platforms, and metadata standards is essential, and certifications like KM (Knowledge Management) certifications can be advantageous. Strong analytical thinking, communication, and stakeholder collaboration skills help you translate complex business needs into effective knowledge frameworks. These skills are crucial for creating scalable information architectures that support organizational learning and efficient knowledge sharing.

What degree do you need to be an information architect?

To become a knowledge architect, a common educational background includes a bachelor's degree in information science, library science, computer science, or a related field. Many professionals also pursue master's degrees or certifications in information architecture, user experience design, or related areas to enhance their skills and job prospects.

What is the difference between Knowledge Architect vs Data Analyst?

AspectKnowledge ArchitectData Analyst
Required CredentialsBachelor's or master's in information science, library science, or related fields; certifications in knowledge managementBachelor's or master's in statistics, data science, or related fields; certifications in data analysis tools
Work EnvironmentDesigning knowledge systems, managing information architecture, collaborating with IT and content teamsAnalyzing data sets, creating reports, interpreting data trends for business insights
Employer & Industry UsageUsed in knowledge management, information services, and enterprise content managementCommon in finance, marketing, healthcare, and tech industries for data-driven decision making

The main difference between a Knowledge Architect and a Data Analyst lies in their focus: Knowledge Architects design and manage information systems and knowledge structures, while Data Analysts interpret data to generate insights. Both roles require analytical skills and familiarity with data tools, but their core responsibilities and work environments differ significantly.

What is the highest paid architect job?

The highest paid roles for knowledge architects or similar senior information professionals typically include Chief Knowledge Officer or Director of Knowledge Management, with salaries often exceeding $150,000 annually. These positions require extensive experience, strategic oversight, and advanced skills in information systems and organizational knowledge strategies.
More about Knowledge Architect jobs
What job categories do people searching Knowledge Architect jobs look for? The top searched job categories for Knowledge Architect jobs are:
Infographic showing various Knowledge Architect job openings in the United States as of June 2026, with employment types broken down into 11% Full Time, 79% Part Time, 2% Temporary, and 8% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $119,507 per year, or $57.5 per hour.
AI Knowledge Product Architect

AI Knowledge Product Architect

eGain Corporation

Sunnyvale, CA • On-site

$200K/yr

Full-time

Posted 26 days ago


Job description

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eGain delivers trusted AI to transform customer experience for some of the largest brands in the world. The eGain AI Knowledge Hub™ helps modernize knowledge management to improve customer experience, transform customer service, and reduce operational costs.
Trusted for decades by leading enterprises in financial services, insurance, telecommunications, retail, healthcare, and government, eGain combines content, AI, and analytics to power knowledge agents and assistants for customers, employees, and AI bots. Our AI Knowledge Hub, AI Agent, Composer, and Evaluator products are deployed in mission-critical environments where accuracy, governance, and scale are non-negotiable.
The Opportunity
We're looking for an experienced AI Knowledge Product Architect to drive the strategy, roadmap, and execution of our AI-powered knowledge management products. In this role, you'll sit at the intersection of generative AI, knowledge management, and customer experience - shaping products that transform how enterprises deliver trusted knowledge to customers, contact center agents, and AI bots.
At eGain, we think of enterprise AI as a five-layer stack:
  1. Infrastructure
  2. Data
  3. AI Models
  4. Knowledge
  5. Applications

Knowledge is instruction for your AI. Knowledge along with data is infrastructure on which you build reliable agentic systems - it's the layer that turns generic AI into trusted enterprise AI - and that's where this role lives. We're specifically looking for candidates who want to bring that foundational depth to the Knowledge layer.
This is a high-impact, high-visibility role for a product leader who is passionate about AI, obsessed with customers, and motivated by building category-defining products.
What You Will Do
  • Own the vision, strategy, and architecture of the AI Knowledge Hub as enabler for Customer Service Automation & Enterprise AI.
  • Advance the product & architectural foundation for enterprise knowledge management - the platform, infrastructure, and frameworks powering knowledge.
  • Drive product roadmap to transform Content into Trusted Knowledge - a single source of truth for all value-added app building and human consumption.
What You Will Bring
  • 6-10 years of product management experience in layers 1-3 of the AI stack - Infrastructure, Data, or AI Models. Examples: enterprise data and AI platforms like Databricks or Snowflake; model serving and inference platforms; ML infrastructure.
  • Proven track record shipping AI infrastructure products at enterprise scale.
  • Deep technical command of modern AI - LLMs, embeddings, vector databases, RAG, agentic patterns, and evaluation frameworks.
  • Experience with enterprise customers in regulated industries - financial services, insurance, telecommunications, healthcare, or government.
  • Bachelor's degree in Computer Science, Engineering, or a related technical field.
  • Master's degree preferred
  • Preferred experience with knowledge management platforms and fluency in knowledge modeling, ontologies, taxonomies, retrieval architectures, and enterprise content lifecycle.
  • Track record of taking platform products through the full lifecycle - from 0 → 1 invention through scaling to enterprise adoption preferred.
Why eGain
  • The chance to shape the future of AI-powered knowledge management at a category leader trusted by the world's largest brands.
  • A collaborative, fast-paced environment with seasoned product, engineering, and AI leaders.
  • Direct exposure to enterprise customers and senior leadership.
  • Competitive compensation, equity, and comprehensive benefits.
  • A mission-driven team committed to delivering trusted AI Knowledge at scale
Our Hiring Process is "Easy with eGain"
Step 1
Written test
  • Aptitude section - this is a GRE style test (60 minutes or less)
  • Functional section - this is a take-home test

Step 2
Panel interview (in-person at eGain Sunnyvale office)
Next step
Email your resumé to [email protected] with the position title "AI Knowledge Product Architect" in the email subject.
Compensation
  • The salary is $200,000 per year.
  • Stock options.

Please note that the compensation package can vary based on the candidate's qualifications and experience level.