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Knowledge Engineering Jobs in Florida (NOW HIRING)

Cotality

Principal Software Engineer (Python)

Sunrise, FL · On-site +1

$128K - $172K/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.

Deloitte

Guidewire Integration Developer

Tampa, FL

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 ...

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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 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 Florida? For Knowledge Engineering jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Knowledge Engineering jobs in Florida look for? The top searched job categories for Knowledge Engineering jobs in Florida are:
What cities in Florida are hiring for Knowledge Engineering jobs? Cities in Florida with the most Knowledge Engineering job openings:
Knowledge Engineering jobs near you
Infographic showing various Knowledge Engineering job openings in Florida as of July 2026, with employment types broken down into 90% Full Time, 7% Part Time, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

Knowledge Engineer

Connective Business Solution

Tallahassee, FL • On-site

Full-time

Re-posted 13 days ago

Job description

General Characteristics
Responsible for developing an infrastructure and process to capture knowledge gained by the organization through successful system interventions and enabling its shared use. Oversees the identification of critical knowledge, its usage, availability and the needs of various business groups. Involved in modeling information sources, flows and critical paths, as well as understanding how information is turned into knowledge and the relationship of knowledge and how it supports and enables key business processes. Facilitates the development of supporting knowledge architecture and standards. Works with operations staff to define an operational framework that defines, develops and implements delivery systems, systems management, policies and security frameworks to ensure delivery of knowledge and information to appropriate groups.
Possesses expertise in process and data modeling, architectural development methodologies, IT planning methodologies and extensive knowledge of the enterprise's business and decision-making processes. Must possess strong leadership skills to gain credibility with various business leaders and stakeholders. Makes complex IT and business decisions. Works with other IT groups to ensure solid cross-functional decisions are made as a team.
Education: Bachelor's or Master's Degree in Computer Science, Information Systems, Business Administration, or other related field. Or equivalent work experience.
Experience: A minimum of 7 years of IT and business/industry work experience. Experience with document management, groupware, relational database systems, data warehouse and data mining, Web and systems analysis/development.
Complexity: Expert/lead technical role. Develops infrastructure and process for identifying and sharing enterprise's core technical and business knowledge. Works on multiple projects as a project leader or as the subject matter expert. Works on projects/issues of high complexity that require demonstrated knowledge across multiple technical areas and business segments. Coaches and mentors more junior technical staff.
*Please note that this application is part of our candidate pool for future staffing needs under our contract with the State of Florida. Positions may not be available immediately, and job locations, assignments, and start dates may vary depending on agency requirements. By applying, you will be considered for current and upcoming opportunities, and we will reach out if a role that matches your skills and qualifications becomes available.*

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