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Knowledge Engineering Jobs in Texas (NOW HIRING)

You have a deep understanding and ability to remain at the forefront of knowledge engineering, generative AI, LLM, and multi-modal models (with a focus on driving innovation by applying these ...

Minimum Requirements: * 3+ years of experience in ontology engineering, knowledge graph development, or semantic data modeling. * Strong proficiency in OWL, RDF, RDFS, SPARQL, and related W3C ...

Minimum Requirements: * 3+ years of experience in ontology engineering, knowledge graph development, or semantic data modeling. * Strong proficiency in OWL, RDF, RDFS, SPARQL, and related W3C ...

Principal Software Engineer (Python)

Dallas, TX · On-site +1

$133K - $179K/yr

Collaborate with the Knowledge Engineering team to build automated workflows for Ontology Management and Entity Linking , eliminating single-resource bottlenecks and manual curation constraints.

Principal Software Engineer (Python)

Austin, TX · On-site +1

$133K - $179K/yr

Collaborate with the Knowledge Engineering team to build automated workflows for Ontology Management and Entity Linking , eliminating single-resource bottlenecks and manual curation constraints.

Python knowledge * Engineering business process knowledge * Ability to diagnose and resolve complex technical problems. * Strong hands on knowledge of different JIRA configurations * Skill in ...

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 ...

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Knowledge Engineering information

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 information, create ontologies, and use tools like knowledge bases and reasoning algorithms to enable machines to simulate human decision-making. Strong skills in logic, data modeling, and programming 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 engineers make $500,000 a year?

Highly experienced engineers in specialized fields such as software engineering, data engineering, or systems architecture can earn $500,000 or more annually, especially in senior or executive roles at large technology companies. These positions often require advanced skills, certifications, and extensive industry experience, and may include bonuses and stock options that contribute to total compensation.

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.

What engineers make 200,000 a year?

Senior knowledge engineers, especially those with expertise in artificial intelligence, machine learning, and data science, can earn $200,000 or more annually. High salaries are often associated with extensive experience, advanced certifications, and working in industries like technology, finance, or consulting, typically in roles involving complex problem-solving and specialized tools.

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 require proficiency with knowledge representation, ontologies, and tools like Protégé or OWL.

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

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 Texas? For Knowledge Engineering jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Knowledge Engineering jobs in Texas look for? The top searched job categories for Knowledge Engineering jobs in Texas are:
What cities in Texas are hiring for Knowledge Engineering jobs? Cities in Texas with the most Knowledge Engineering job openings:
Associate, Legal Knowledge Engineering

Associate, Legal Knowledge Engineering

Litera

Austin, TX

Other

Medical, Retirement, PTO

Posted 15 days ago


Job description

Job Description

Ready to Help Shape the Future of Legal Tech?!

AtLitera, we don't just build software, we transform how the world's top law firms operate. Every day, we RaiseTheBar for what's possible through AI, innovation, and solutions that power millions of legal professionals worldwide. If you're energized by scale, real impact, and meaningful challenges, you'll feel right at home here.

Where You'll Work

This position can be based in Austin, Boston, Chicago, Denver, New Jersey, New York City, Philadelphia, Raleigh or Toronto and candidates should reside within reasonable commuting distance, as this role requires on-site presence at least three days per week. This hybrid approach enables us to build a collaborative and innovative work environment while maintaining the flexibility that supports both productivity and work-life balance. We are actively seeking talented individuals to join our team in this exciting new phase of growth.

Overview: As an Associate, Legal Engineering at Litera, you will be part of a dynamic team that is passionate about driving innovation in the legal technology space. You will have the opportunity to work with cutting-edge tools and collaborate with industry experts to deliver solutions that make a real difference in the legal profession.

Are you a talented, experienced lawyer looking to use the knowledge you've gained in your field in a new way? Do you love the intellectual challenge of understanding complicated agreements, but feel like you are ready to take your career in a new direction and have more control over your time? Do you want to contribute to a product in a meaningful way to improve the lives of lawyers? Do you feel the buzz of AI and generative AI and want to get involved?

Litera is looking for a lawyer to help build our legal products. Who better to know how to influence the direction of our legal products than a lawyer. As part of this, you will also get to experiment with generative AI technology. In addition, Litera needs a lawyer to help work with our engineering teams to advise on legal workflows. In this role, you will have the opportunity to be part of a cutting edge industry and a company that is making a tremendous impact in your field. You will help us build positive experiences for our clients, which include some of the world's best law firms, professional service firms, and corporations. This is an environment where your contribution and expertise will be supported, acknowledged, and rewarded.

Your day-to-day

As a Legal Knowledge Engineering Associate, you will be responsible for working on one or more of our legal software products. As part of this, you will be our legal tech products to find the information our clients seek in their documents. You will be experimenting with prompting an LLM from within our product and/or teaching our product,Kira, by highlighting information in diverse sets of documents. Kira studies the examples, uses machine learning algorithms to figure out patterns, and then finds similar information in new documents. In addition, you will be working with our product/engineering/design teams to help ensure that new features are defined and brought to completion with proper legal workflows in mind.

What You'll Be Doing

Working with our product/engineering/design teams to help set the vision for new legal tech products and features within Kira and the rest of Litera.

Experimenting and testing Generative AI to ensure our products are built the best they can be.

Develop new "smart fields" (machine learning algorithms that can find information) and data points for documents relating to securities and/or financing transactions.

Maintain a thorough understanding of developments in your legal domain, and continuously identify new opportunities to build smart fields.

Identify opportunities to improve processes, gain efficiencies, and share best practices.

What You Bring

  • You have two or more years practicing in transactional law, ideally gained at a law firm, in house, or at a legal service provider.

  • Experience working in debt financing is an asset

  • Have a JD and have been called to the bar in at least one state/province.

  • Experience with legal operations, legal program management, and/or contract management systems is an asset.

  • Strong Interest in legal technology and artificial intelligence.

  • You have strong client service skills and excellent written and verbal communication skills.

  • You have the ability to learn new technologies quickly and are not intimidated by trying something new.

  • You have extraordinary attention to detail and are highly organized.

  • You are relentless and a creative problem solver, and your analytical skills are exceptional.

  • You have strong time management skills and can successfully juggle multiple priorities.

  • You are highly responsible, self-motivated and able to work with minimal supervision.

  • You empathize with people. Your first instinct when asked for something is to try to find a way to say yes.

What Sets Us Apart? Work with a team that has a proven track record. Our company's growth will challenge and encourage you to broaden your skills. Generous allocation of paid time off, and flexible work hours. Available merit-based cash bonus plan. Comprehensive medical coverage and Employee Assistance Program Many opportunities for rewards and recognition

The salary range for this position is $95,000 to $120,000 in the United States. Pay is based on several factors including but not limited to education, work experience, certifications, etc. In addition to your salary, Litera offers benefits such as a comprehensive benefits package, incentive and recognition programs, and 401k contribution (all benefits are subject to eligibility requirements).#LI-HybridSalary Range (Ontario Applicants):
This position has a base salary range of $100,000 to $135,000 CAD, with additional eligibility for a discretionary annual bonus and benefits. The final offer will depend on experience, qualifications, and internal equity.Litera is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.Vacancy Status Disclosure: This job posting is for an existing job vacancy.Litera may use artificial intelligence and automated tools as part of the recruitment and hiring process to support activities such as resume review, candidate matching, and workflow efficiency. These tools are designed to assist, not replace, human decision-making. All hiring decisions are ultimately made by qualified Litera professionals.

Litera is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.