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Knowledge Engineering Jobs in Florida (NOW HIRING)

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 ...

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 ...

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:
Forward Deployed Engineer

Forward Deployed Engineer

Ultimate Knowledge

Orlando, FL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday


Job description

We're looking for a Forward Deployed Engineer who is, first and foremost, a software engineer; someone who writes code, reasons about systems, and understands how distributed applications behave in real-world environments. But you're also the kind of person who enjoys rolling up your sleeves and helping customers succeed directly: embedding with their teams, understanding their constraints, and making complex cloud-native systems actually work in the places they need to run.

You'll work across cloud and on-prem environments; including secure and classified networks; deploying, adapting, and occasionally adapting our platform to environments that don't always behave as expected. This is not a traditional DevOps or IT role. You will ship code, build tooling, write automation, debug real distributed-systems failures, and help customers adopt best practices in GitOps, networking, and infrastructure-as-code. Kubernetes is a must have.

We value engineers who are curious, adaptable, empathetic, and calm under ambiguity. You're the kind of person who can pick up a new tool in a day, learn a customer's entire system architecture in a week, and become their most trusted technical partner in a month. You have strong opinions (and the experience to back them up) but no ego. You prefer shipping things over polishing them endlessly. And you enjoy the blend of deep technical work, human collaboration, and the occasional "how on earth is this network even working?" puzzle.

Requirements

Must-Have Technical Experience
  • 5+ years professional experience as a software engineer (backend or platform-focused).
  • Proficiency in at least one modern backend language (TypeScript, Java, Go, Python).
  • Hands-on experience deploying and operating Kubernetes workloads in production environments.
  • Practical experience with GitOps tooling (ArgoCD preferred; Flux acceptable).
  • Experience building and maintaining infrastructure-as-code using Terraform, Helm, and/or Kustomize.
  • Ability to troubleshoot distributed systems, including:
    • container runtime issues
    • API failures
    • microservices communication
    • misconfigured networking or CNI behavior
  • Familiarity with CNI plugins such as Calico, Cilium, or Multus.
  • Strong understanding of networking fundamentals (DNS, TCP/IP, firewalls, proxies, service networking).
  • Experience with cloud platforms (AWS preferred; GovCloud is a plus but not required).
  • Ability to write automation and tooling in scripting languages (Bash, Shell, Python).
Must-Have "Forward Deployed" Skills
  • Experience working directly with customer engineering or IT/SecOps teams.
  • Ability to gather requirements, interpret constraints, and adjust implementation plans accordingly.
  • Strong verbal and written communication skills, including technical explanations for non-experts.
  • Experience performing technical troubleshooting in unfamiliar or partially-documented environments.
  • Comfortable working in secure, regulated, or on-prem environments with limited visibility or access.
Must-Have Security / Clearance
  • Active DoD Secret clearance or higher (TS/SCI strongly preferred, but T2 is minimum).
  • Ability to work within DoD, IC, or government security frameworks and deployment requirements.
Mindset / Problem-Solving Expectations
  • Highly self-directed-able to navigate ambiguity, set your own plan of attack, and move work forward without relying on rigid processes, prescriptive task lists, or constant guidance.
  • Pragmatic problem solver who prefers shipping working solutions to debating theory.
  • Capable of working through ambiguity without needing fully defined requirements.
  • Low-ego collaborator who can discuss architecture tradeoffs and accept feedback.
  • Comfortable balancing "ideal engineering" with "what is practical in this customer environment."
Nice to Have (Preferred)
  • Experience delivering software to air-gapped, disconnected, or highly regulated customer environments.
  • Hands-on experience with AWS EKS, IAM, VPC/networking, or GovCloud.
  • Familiarity with DoD accreditation processes (RMF, NIST 800-53, STIGs).
  • 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 stacks (Prometheus, Grafana, EFK).
Location & Engagement
  • Position is hybrid. Primary direct support location is Orlando Florida.
  • Alternatively, must be willing to travel to Orlando, FL for SAFE AGILE planning, in-person scheduled events, cloud instance support, customer engagement, and user events.
  • Client-Facing Experience: Ability to communicate technical concepts to non-technical stakeholders, gather requirements, and act as a consultant.

Benefits

     Comprehensive medical, dental, and vision coverage.

     Short and long-term disability coverage for added security.

     Basic life insurance provided by the company.

     Optional supplementary life insurance policy available for additional coverage.

     UKI covers 100% of individual premiums for medical, dental, vision, disability, and basic life insurance.

     A 401k plan with a basic safe harbor matching (up to 4% match with a 5% contribution).

     Enjoy 15 days of PTO annually for vacation or sick leave.

     Benefit from 12 company holidays, aligning with 11 federal holidays, plus Christmas Eve.