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Knowledge Engineering Jobs in Florida (NOW HIRING)

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

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

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 ...

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

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

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 ...

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

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

Knowledge of service mesh (Istio, Linkerd) or eBPF-based networking. * Prior experience in a forward-deployed, field engineering, or customer-embedded role. * Experience with monitoring/observability ...

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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 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:
Engineering Manager

Engineering Manager

CLX Engineering

Sanford, FL • On-site

Full-time

Re-posted 27 days ago


Job description

Job Type
Full-time
Description
The Engineering Manager is a senior leadership role responsible for guiding CLX Engineering's technical execution, developing future engineering leaders, and maturing the engineering organization's systems, standards, and workforce capabilities. This role owns day to day engineering performance-people, delivery, processes, readiness-and serves as the bridge between engineering execution and strategic technical direction.
This role is designed to evolve into a key organizational pillar, responsible for developing future engineering leaders, elevating engineering quality, standardizing processes company wide and building a scalable technical organization capable of supporting long term growth.
Engineering Leadership & People Management
  • Serve as the functional leader for engineers, technicians, and (as the team grows) Engineering Managers, overseeing workload distribution, skill development, resourcing, and performance.
  • Build a culture of engagement, psychological safety, accountability, craftsmanship, and continuous learning.
  • Make hiring, promotion, corrective action, and termination recommendations; serve as manager of record for performance reviews and career development.
  • Mentor engineering staff in both new and legacy technologies, devices, and practices.
  • Support succession planning and leadership pipeline development within the Controls Engineering organization.

Technical & Project Execution Oversight
  • Own engineering execution across assigned programs and projects-resourcing, schedules, milestones, change management, and risk mitigation.
  • Oversee implementation of standardized engineering practices including PLC standards, HMI standards, testing protocols, and documentation quality.
  • Provide guidance on system design, PLC programming standards, HMI development, testing methodology, and commissioning support (without taking on routine programming duties).
  • Ensure operational readiness across engineering (SOPs, tools, work instructions, documentation, dashboards).
  • Partner with technical authorities, R&D, and Software teams to align architecture, design approaches, and implementation strategies.

Cross Functional Alignment & Collaboration
  • Coordinate engineering activities with Project Management, Manufacturing, R&D, Software, and CAD to ensure seamless project delivery from concept to field deployment.
  • Ensure interdepartmental tasks-especially between Controls and Software-are synchronized and effectively executed.
  • Represent engineering in executive level reviews, providing clear communication of risks, decisions, tradeoffs, and corrective actions.

Standards, Processes, and Continuous Improvement
  • Own continuous improvement for engineering workflows-from part selection to panel design to programming-ensuring processes scale with organizational growth.
  • Guide the maintenance and evolution of internal PLC coding standards, HMI guidelines, and engineering documentation frameworks.
  • Drive the development of internal user manuals, implementation guides, and engineering knowledge assets.
  • Lead or coordinate creation of training materials across engineering, R&D, and Software.
  • Support development and maintenance of the internal searchable knowledge base capturing lessons learned, commissioning methods, known issues, and accelerators.
  • Regularly host post project debriefs to gather insights and refine processes.

Training, Development, & Knowledge Management
  • Ensure onboarding, skills development, and engineering training programs meet department needs.
  • Coordinate hands on instruction for Controls Engineering, expanding internal capability across PLC programming, HMI development, system testing, field commissioning, and project execution.
  • Work with R&D to define and track competencies, identify skill gaps, and guide resource allocation based on strengths and development needs.

Project Support & Oversight
  • Validate engineering status across active projects; ensure deliverables meet quality and readiness expectations.
  • Assist engineering teams as needed during high risk, highly technical, or schedule critical phases of project implementation.
  • Provide oversight-not ownership-of PLC code quality, HMI development, testing processes, and commissioning readiness.

Travel & Other Duties
  • May travel up to ~50% as required for commissioning support, team development, customer engagement, or high priority initiatives.
  • Perform other duties as assigned to support organizational growth and strategic objectives.

Requirements
Requirements
  • Demonstrated leadership experience supervising engineering teams in an industrial automation, controls engineering, or related technical environment
  • Proven ability to manage both individual contributors and, as the organization grows, Engineering Managers
  • Strong understanding of engineering project scope, goals, schedules, and technical requirements, with the ability to guide execution across multiple concurrent projects
  • Experience with resource planning, workload distribution, staffing decisions, and performance management
  • Ability to build and maintain a high engagement culture focused on psychological safety, accountability, continuous learning, and technical
  • Strong technical understanding of PLC programming standards, HMI principles, testing workflows, and system commissioning practices (oversight-focused, not hands on)
  • Demonstrated ability to implement, maintain, and improve engineering SOPs, documentation, tools, and processes to support operational readiness and scalability.
  • Experience coordinating engineering activities across functions such as R&D, Software, Manufacturing, and Project Management
  • Strong communication skills to support cross functional decision making, risk escalation, and executive level updates
  • Ability to mentor, coach, and develop engineers at multiple levels, including onboarding, skills development, standards training, and leadership pipeline cultivation
  • Experience supporting or leading post project reviews, lessons learned processes, and continuous improvement initiatives
  • Ability to support field work or commissioning efforts as needed; willingness to travel up to ~50% depending on project demand
  • High level of technical problem solving ability and comfort working in a fast paced engineering environment

Desired (but not required):
  • Bachelor's degree in engineering, computer science, or related technical field
  • Training or certification in leadership development, Lean, Six Sigma, or process improvement