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Knowledge Engineering Jobs in Florida (NOW HIRING)

CLX Engineering

Engineering Manager

Sanford, FL · On-site

Training, Development, & Knowledge Management * Ensure onboarding, skills development, and engineering training programs meet department needs. * Coordinate hands on instruction for Controls ...

CLX Engineering

Engineering Manager

Sanford, FL

$120K - $135K/yr

Training, Development, & Knowledge Management * Ensure onboarding, skills development, and engineering training programs meet department needs. * Coordinate hands on instruction for Controls ...

CLX Engineering

Engineering Manager

Sanford, FL · On-site

$120K - $135K/yr

Training, Development, & Knowledge Management * Ensure onboarding, skills development, and engineering training programs meet department needs. * Coordinate hands on instruction for Controls ...

NextGen Security LLC

Senior Technician

Hollywood, FL · On-site

Demonstrates expert knowledge and capacity in programming and commissioning of new systems. * Demonstrates fundamental knowledge and capacity in networking and storage calculations. * Networking and ...

Accura Engineering

Engineering Manager

Pensacola, FL · On-site

Strong knowledge of engineering standards, project execution procedures, and quality management practices. * Proven ability to manage multidisciplinary engineering teams and deliver complex projects.

AVIOSS LLC

CNC MILL PROGRAMMER

Doral, FL · On-site

This role requires strong machining knowledge, programming expertise, and hands-on collaboration with machinists, engineering, and quality teams to ensure efficient and accurate production. The ideal ...

APA Services

Be Seen First

CNC Programmer

Westchester, FL · On-site

$40 - $48/hr

This role requires strong machining knowledge, programming expertise, and hands-on collaboration with machinists, engineering, and quality teams to ensure efficient and accurate production. The ideal ...

CLX Engineering

Director of Engineering

Sanford, FL

$130K - $150K/yr

Drive engineering scalability initiatives including process development, workflow optimization, technical governance, and knowledge management systems. * Lead initiatives focused on engineering ...

CLX Engineering

Director of Engineering

Sanford, FL · On-site

$130K - $150K/yr

Drive engineering scalability initiatives including process development, workflow optimization, technical governance, and knowledge management systems. * Lead initiatives focused on engineering ...

CLX Engineering

Director of Engineering

Sanford, FL · On-site

Drive engineering scalability initiatives including process development, workflow optimization, technical governance, and knowledge management systems. * Lead initiatives focused on engineering ...

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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 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 $500,000?

Senior-level knowledge engineers with extensive experience, advanced skills in data modeling, natural language processing, and machine learning can earn salaries approaching or exceeding $500,000, especially in high-demand industries or companies. Such roles often require advanced degrees, certifications, and a strong track record of successful projects.

What engineers make $300,000 a year?

Senior-level engineers in fields such as software engineering, data engineering, and specialized roles like machine learning engineers can earn $300,000 or more annually, especially with extensive experience, advanced skills, and working in high-demand industries or companies. These roles often require strong technical expertise, certifications, and sometimes leadership responsibilities.

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 bases.

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 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 June 2026, with employment types broken down into 1% As Needed, 76% Full Time, and 23% Part Time. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution.
Guidewire Sr Integration Developer -

Guidewire Sr Integration Developer -

Deloitte

Tampa, FL

Other

Posted 18 days ago

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services

Job description

Join Deloitte's AI & Engineering practice, where we help organizations modernize technology platforms, transform operations, and unlock business value through innovation. As part of our Insurance Transformation work, you will help clients deliver Guidewire-based solutions that strengthen core operations, support digital modernization, and enable enterprise connectivity. You will work with cross-functional teams across engineering, data, cloud, and business functions to deliver scalable solutions for complex insurance environments.

Recruiting for this role ends on 07/03/2026.

Work you'll do

As a Senior Consultant, Functional Transformation on the Insurance Transformation team, you will be responsible for:

  • Translating business and technical requirements into scalable Guidewire integration solutions for insurance clients
  • Configuring and extending Guidewire InsuranceSuite applications, including PolicyCenter, BillingCenter, ClaimCenter, and related digital components
  • Designing, building, and supporting integrations between Guidewire and enterprise platforms, including payments, document management, and third-party data providers
  • Supporting data migration activities, including mapping, transformation, reconciliation, and validation across systems
  • Collaborating with client stakeholders, architects, developers, data teams, and quality engineering teams to test, deploy, and optimize solutions while contributing to team development and practice initiative.

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The Team

Deloitte's Industry Solutions offering delivers sector-specific solutions that help clients improve service delivery, generate growth, and run mission-critical operations. Within that practice, our Insurance Transformation team helps insurers modernize core platforms, connect business strategy with enabling technology, and improve operational performance. 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 serves more than 90% of Fortune 500 banking, insurance, securities, investment management, and real estate companies.

Qualifications Required:

  • Bachelor's degree in Computer Science, Information Technology, Engineering or a related field
  • 4 years of hands-on experience designing and delivering cross-suite integrations across Guidewire InsuranceSuite and external enterprise systems. (PolicyCenter, BillingCenter, ClaimCenter)
  • 4 years of experience as a Guidewire Developer in insurance or consulting environments
  • 2+ years experience with Java/J2EE tech stack with knowledge of the SDLC and integration frameworks
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available

Preferred:

  • Advanced degree
  • Proficiency in Guidewire configuration and integration (Gosu scripting, Guidewire Studio, Data Model, Product Model)
  • Guidewire ACE Certification
  • Familiarity with DevOps tools (Jenkins, Git, Docker) and CI/CD pipelines
  • Experience with Cloud Platforms such as AWS, Azure or GCP

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $116,200 to $229,100.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html

Qualifications:

Join Deloitte's AI & Engineering practice, where we help organizations modernize technology platforms, transform operations, and unlock business value through innovation. As part of our Insurance Transformation work, you will help clients deliver Guidewire-based solutions that strengthen core operations, support digital modernization, and enable enterprise connectivity. You will work with cross-functional teams across engineering, data, cloud, and business functions to deliver scalable solutions for complex insurance environments.

Recruiting for this role ends on 07/03/2026.

Work you'll do

As a Senior Consultant, Functional Transformation on the Insurance Transformation team, you will be responsible for:

  • Translating business and technical requirements into scalable Guidewire integration solutions for insurance clients
  • Configuring and extending Guidewire InsuranceSuite applications, including PolicyCenter, BillingCenter, ClaimCenter, and related digital components
  • Designing, building, and supporting integrations between Guidewire and enterprise platforms, including payments, document management, and third-party data providers
  • Supporting data migration activities, including mapping, transformation, reconciliation, and validation across systems
  • Collaborating with client stakeholders, architects, developers, data teams, and quality engineering teams to test, deploy, and optimize solutions while contributing to team development and practice initiative.

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The Team

Deloitte's Industry Solutions offering delivers sector-specific solutions that help clients improve service delivery, generate growth, and run mission-critical operations. Within that practice, our Insurance Transformation team helps insurers modernize core platforms, connect business strategy with enabling technology, and improve operational performance. 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 serves more than 90% of Fortune 500 banking, insurance, securities, investment management, and real estate companies.

Qualifications Required:

  • Bachelor's degree in Computer Science, Information Technology, Engineering or a related field
  • 4 years of hands-on experience designing and delivering cross-suite integrations across Guidewire InsuranceSuite and external enterprise systems. (PolicyCenter, BillingCenter, ClaimCenter)
  • 4 years of experience as a Guidewire Developer in insurance or consulting environments
  • 2+ years experience with Java/J2EE tech stack with knowledge of the SDLC and integration frameworks
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available

Preferred:

  • Advanced degree
  • Proficiency in Guidewire configuration and integration (Gosu scripting, Guidewire Studio, Data Model, Product Model)
  • Guidewire ACE Certification
  • Familiarity with DevOps tools (Jenkins, Git, Docker) and CI/CD pipelines
  • Experience with Cloud Platforms such as AWS, Azure or GCP

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $116,200 to $229,100.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html

Education:Bachelor's DegreeEmployment Type:

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