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Knowledge Engineering Jobs in Houston, TX (NOW HIRING)

Manufacturing Engineer

Sugar Land, TX · On-site

$65K - $84K/yr

SAP, Basic electronics knowledge, engineering drawings, BOM. * Is field Experience required? No * Job level expectation: G09-G11 * Salary Expectation: 70-110k * Is required to work on the weekend? No

The candidate will work collaboratively within a Wood client company and apply extensive and comprehensive knowledge of I&C engineering principles and practices to the organization's products and ...

We bring together industry knowledge, engineering capabilities, and delivery experience across core systems, digital, data, analytics, cloud, and AI. Deloitte's Financial Services Industry practice ...

More About Us NextGen Security is an electronic security systems integrator that offers commercial and industrial companies best in class industry knowledge, engineering design, implementation ...

Installer

Houston, TX · On-site

$43K - $49K/yr

  • PTO

... knowledge, engineering design, implementation, management and on-going maintenance services. Our company accomplishes this by hiring only the most experienced and best-qualified talent the security ...

... knowledge for a broad range of products, working with operations and engineering on a regular basis to develop proposals and management of client security initiatives. Some overnight and out of town ...

More About Us NextGen Security is an electronic security systems integrator that offers commercial and industrial companies best in class industry knowledge, engineering design, implementation ...

More About Us NextGen Security is an electronic security systems integrator that offers commercial and industrial companies best in class industry knowledge, engineering design, implementation ...

Aspen Tech knowledge * Engineering/Construction Management Degree * On-site experience * Self-started/ Career Driven/ Well Organized * Must reside in continental United States Additional Information

Aspen Tech knowledge * Engineering/Construction Management Degree * On-site experience * Self-started/ Career Driven/ Well Organized * Must reside in continental United States Additional Information

Designer II/III

Conroe, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

About Us: TechServ has been providing the highest quality consulting and engineering services to ... Knowledge: approximately 3-5 years of design experience Physical Requirements: * Work is performed ...

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Knowledge Engineering information

See Houston, TX salary details

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How much do knowledge engineering jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for knowledge engineering in Houston, TX is $30.13, according to ZipRecruiter salary data. Most workers in this role earn between $19.28 and $36.25 per hour, depending on experience, location, and employer.

What does a knowledge engineer do?

A knowledge engineer designs, develops, and maintains systems that capture and organize knowledge for artificial intelligence and expert systems. They analyze domain data, create ontologies, and implement knowledge bases using tools like logic programming and semantic technologies. Strong analytical skills and understanding of data modeling are essential for this role.

What is knowledge engineering?

Knowledge engineering is a field within artificial intelligence that focuses on creating systems capable of simulating human decision-making and reasoning. It involves gathering, organizing, and structuring information so that computers can use it to solve complex problems. Knowledge engineers work to build knowledge bases and rule-based systems, often collaborating with domain experts to codify expertise into a form that machines can process. This discipline is fundamental in the development of expert systems, intelligent agents, and modern AI applications.

What is the difference between Knowledge Engineering vs Data Scientist?

AspectKnowledge EngineeringData Scientist
Required CredentialsTypically degrees in computer science, AI, or related fields; certifications in knowledge systemsDegrees in statistics, computer science, or mathematics; certifications in data analysis or machine learning
Work EnvironmentDeveloping knowledge bases, expert systems, and AI applications in tech or research settingsAnalyzing data, building predictive models, and deriving insights in various industries
Employer & Industry UsageUsed in AI development, research institutions, and tech companiesUsed across finance, healthcare, marketing, and tech sectors

While both roles involve working with data and AI, Knowledge Engineers focus on creating structured knowledge bases and expert systems, whereas Data Scientists analyze data to extract insights and build predictive models. Understanding these differences helps in choosing the right career path or job focus.

How does a knowledge engineer typically collaborate with subject matter experts during a project?

Knowledge Engineers frequently work closely with subject matter experts (SMEs) to extract, structure, and formalize domain knowledge into usable formats for AI systems or knowledge bases. This collaboration often involves conducting interviews, facilitating workshops, and reviewing documentation to ensure complex concepts are accurately captured. Effective communication and iterative feedback are key, as Knowledge Engineers must bridge the gap between technical requirements and expert insights. This teamwork helps ensure that the resulting system is both technically sound and aligned with real-world practices.

How much does a knowledge engineer make?

A knowledge engineer's salary typically ranges from $70,000 to $130,000 annually, depending on experience, education, and location. Senior roles or those with specialized skills in AI, machine learning, or data management can earn higher salaries. Many positions also require proficiency with tools like ontologies, semantic web technologies, and knowledge representation languages.

What are the key skills and qualifications needed to thrive as a knowledge engineer?

To thrive as a Knowledge Engineer, you need a strong background in computer science, logic, and data modeling, often supported by a relevant degree. Familiarity with knowledge representation systems, ontologies, semantic web technologies, and tools like Protégé is typically required, along with experience in programming languages such as Python or Java. Strong analytical thinking, problem-solving abilities, and clear communication skills help you collaborate with subject matter experts and translate complex information into structured formats. These skills are critical for building effective knowledge-based systems that drive intelligent decision-making and organizational efficiency.

What are popular job titles related to Knowledge Engineering jobs in Houston, TX?

For Knowledge Engineering jobs in Houston, TX, the most frequently searched job titles are:

What job categories do people searching Knowledge Engineering jobs in Houston, TX look for?

The top searched job categories for Knowledge Engineering jobs in Houston, TX are:

What cities near Houston, TX are hiring for Knowledge Engineering jobs?

Cities near Houston, TX with the most Knowledge Engineering job openings:

Infographic showing various Knowledge Engineering job openings in Houston, TX as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 18% Part Time, 1% Temporary, and 3% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $62,669 per year, or $30.1 per hour.

Director, Solution Architecture Director, Solution Architecture Context Labs about 2 hours ago [...]

Seeds Renewables

Houston, TX • On-site

$140 - $190/hr

Other

Posted 2 days ago

New


Job description

In this role you will provide expertise to support the sale and deployment of Context Labs’ products by bridging technical, product, and customer needs, with a focus on oil & gas facilities and GHG emissions expertise. The individual collaborates with sales, product, and customers to deliver demos, assess digital readiness, and solve complex data integration challenges. It is a high-visibility role in a growing company, requiring hands-on technical and client-facing support throughout the pre- and post-sales process as well as mentoring junior staff members. The position reports to the Chief Customer Officer and works closely with senior leadership.

In this role you will :Pre-Sales Strategy & Governance
  • Define pre-sales technical positioning, demo standards, and reference implementation strategy
  • Support executive sponsor conversations
  • Ensure sales motions align with delivery and support capacity
  • Establishes architectural standards and reusable system design patterns across customers
  • Align solution architecture strategy with product and platform evolution
Discovery, Qualification & Delivery Governance
  • Define qualification and delivery standards
  • Defines discovery frameworks that ensure consistent capture of system level requirements globally
  • Set minimum technical readiness criteria
  • Own escalation path for all deals
  • Define architectural principles for scalability performance and reuse
  • Ensure alignment between customer solutions and long-term platform architecture
  • Define and govern standards for emissions calculation logic, methodology interpretation, and auditability across the portfolio
  • Approve or reject architectural exceptions
Knowledge Engineering Standards and Governance
  • Define and govern standards and processes for knowledge engineering across the portfolio ensuring integration with the CXL knowledge graph technology
  • Ensure long-term maintainability of CXL knowledge graph technology
Data Integration Strategies and Standards
  • Set portfolio-wide standards for asset modeling, data integration patterns, and scalability
  • Ensure long-term maintainability of customer configurations
Output & Certification Governance
  • Govern how certificates, compliance reports, and operational dashboards are designed and issued
  • Ensure outputs remain defensible, verifiable, and regulator ready.
Implementation Support
  • Establish governance to maintain architectural consistency across implementations
  • Ensure adherence to system design standards globally
Sales to Delivery to Support Alignment
  • Establish and enforce standards for post-sales handoff
  • Align Sales, Solution Architect/Engineering, Delivery TPM, and Support expectations
  • Continuously refine rules based on post go-live outcomes
Experience:
  • Balances revenue growth with delivery risk, regulatory exposure, and long-term platform integrity
  • Builds and leads the Solution Architecture organization
  • Sets standards, goals, accountability and develops future leaders
  • Portfolio level understanding of emissions architecture, knowledge graph design, data integration strategy and platform scalability
  • Exceptional written, presentation, and verbal communication skills
  • An ability to explain technical subjects to non-technical people
  • Experience with enterprise software implementations involving complex data integration and migration efforts
Preferred Experience:
  • Bachelor’s degree in engineering (process/process safety, facilities/operations, mechanical, environmental, or similar related field).
  • Significant experience in oil & gas operating facilities (upstream, midstream, or downstream) with the ability to thoroughly understand operational challenges and communicate effectively with customer personnel across functions and levels.
  • Project Management and/or Agile certification is a plus.
  • Solid understanding of Piping & Instrumentation Diagrams (P&IDs), Process Flow Diagrams (PFDs), Cause & Effects Charts (C&E), Electrical One-Lines, Facility Layout Drawings, and similar engineered facility drawings.
  • Prior experience in software, practical understanding of modern application architectures, and/or experience with RESTful API integration would be a plus but not required.
  • Experience writing SQL queries to extract, analyze, or manipulate data from relational databases; comfort navigating large or complex datasets is preferred.
  • Experience with the Atlassian suite of management tools preferred.
Why you’ll like it here:
  • Context Labs is collaborative at its core. You’ll work within your team and across the organization allowing for continuous learning and discovery.
  • We set goals that matter and provide value in all that we do, from building meaningful products to positively impacting carbon reduction and climate change.
  • Context Labs’ mission is to transform complex data into a trusted data fabric that delivers context-driven insights that enable human networks to spot patterns, correlate trends - and reveal the truth hidden inside the world’s most complicated, persistent problems.

Context Labs embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. We believe the more inclusive we are, the better our products will be. Context Labs will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please contact Human Resources at HR@contextlabs.com.

Who we are:

Context Labs is dedicated to sourcing, organizing, and contextualizing the world’s climate information. The company enables data to become trusted, shared, and utilized as Asset Grade Data (AGD™), providing insights and solutions to inform markets. Context Labs mission is to provide the world’s trusted data fabric platform, delivering Asset Grade Data to customers using the Immutably™ Enterprise Data Fabric platform, deploying machine learning, Artificial Intelligence, and cryptographic blockchain technologies, for context-driven insights.

Building on the Immutably™ Enterprise Data Fabric platform, the company has deployed Decarbonization-as-a-Service™ (DaaS™), which is tailored to accelerate the Global Energy Transition by providing trusted emissions performance data, and its CLEAR Path™ platform to enable customers to optimize value creation with independently certified carbon intensity for their products and services. The company was formed out of MIT (Massachusetts Institute of Technology) research and is comprised of a leadership team that has been instrumental in the at-scale growth of the Internet, in prior companies. The company has offices in Amsterdam (Netherlands), Cambridge (Massachusetts), and Houston (Texas).

We are a team that is hiring and growing! Learn more about Context Labs here: www.contextlabs.com

Context Labs is dedicated to sourcing, organizing, and contextualizing the world’s climate information. The company enables data to become trusted, shared, and utilized as Asset Grade Data, providing insights and solutions to inform markets. Context Labs’ mission is to provide the world’s trusted data fabric platform, delivering Asset Grade Data ...

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