Knowledge engineer to artificial intelligence engineer
A knowledge engineer already meets 64% of what the artificial intelligence engineer role asks for. The move turns on 13 required skills not yet in the profile.
49.4/ 100
1 How much of what an artificial intelligence engineer is expected to do is already part of a knowledge engineer’s work. Directional: the figure for the reverse move differs, because moving into a speciality is not the same problem as moving out of one. 2 Every skill the artificial intelligence engineer role is recorded as needing, required and optional together. What these numbers mean.
Why this move works
An artificial intelligence engineer role treats 18 of its required skills as things a knowledge engineer already does. You would walk in with these on day one.
- Python (computer programming)
- analyse business requirements
- apply ICT systems theory
- business process modelling
- computer programming
- data mining
What stands in the way is 13 required skills the profile does not yet cover. Table 3 groups them; Table 4 says which to take first.
Table 2 · What you already bring
Of the 61 skills that carry over, these are the ones fewest other occupations ask for. An artificial intelligence engineer role needs them, and most people applying for one will not have them already. This is the part of a knowledge engineer background worth leading with.
- already held design application interfaces communication, collaboration and creativity
- already held manage ICT semantic integration working with computers
- already held manage business knowledge management skills
- already held apply ICT systems theory working with computers
- already held information categorisation social sciences, journalism and information
- already held assess ICT knowledge management skills
All 61 carried skills, including the 18 the artificial intelligence engineer role treats as required.
Table 3 · What you may need to learn
The 28 missing skills fall into 7 areas of the ESCO skill hierarchy, numbered in the order worth working in. Areas carrying the most required skills come first, and inside each one the required skills sit above the optional ones. Nothing here is a verdict on you: it is a list of what this particular job asks for that your current one does not.
- still to learn digital data processing required
- still to learn creatively use digital technologies required
- still to learn develop statistical software required
- still to learn use data processing techniques required
- optional, not held build recommender systems optional
- optional, not held manage ICT data classification optional
- optional, not held utilise machine learning optional
- optional, not held perform dimensionality reduction optional
- still to learn data models required
- still to learn algorithms required
- still to learn artificial neural networks required
- still to learn computer simulation required
- optional, not held computer vision optional
- optional, not held deep learning optional
- still to learn deliver visual presentation of data required
- still to learn design process required
- still to learn develop creative ideas required
- optional, not held apply systemic design thinking optional
- still to learn analyse big data required
- still to learn create data sets required
- optional, not held build predictive models optional
- optional, not held Agile project management optional
- optional, not held ICT project management methodologies optional
- optional, not held Process-based management optional
- optional, not held lean project management optional
- optional, not held operational research optional
- optional, not held identify processes for re-engineering optional
1 further area in the appendix
Table 4 · Where to start
The 3 entries an artificial intelligence engineer role is least likely to hire without. The ordering is computed from the skill data, not from what pays.
Each entry opens a course search for that skill. Career Overlap earns nothing from these links.
Appendix · The rest of the record
All 61 skills that carry over
- already held Python (computer programming) knowledge
- already held analyse business requirements skill
- already held apply ICT systems theory skill
- already held business process modelling knowledge
- already held computer programming knowledge
- already held data mining knowledge
- already held data science knowledge
- already held define technical requirements skill
- already held information architecture knowledge
- already held information categorisation knowledge
- already held information extraction knowledge
- already held information structure knowledge
- already held principles of artificial intelligence knowledge
- already held resource description framework query language knowledge
- already held systems development life-cycle knowledge
- already held task algorithmisation knowledge
- already held unstructured data knowledge
- already held visual presentation techniques knowledge
- already held Assembly (computer programming) knowledge
- already held C# knowledge
- already held C++ knowledge
- already held COBOL knowledge
- already held CoffeeScript knowledge
- already held Common Lisp knowledge
- already held Erlang knowledge
- already held Groovy knowledge
- already held Haskell knowledge
- already held Java (computer programming) knowledge
- already held JavaScript knowledge
- already held LINQ knowledge
- already held Lisp knowledge
- already held MATLAB knowledge
- already held ML (computer programming) knowledge
- already held Microsoft Visual C++ knowledge
- already held N1QL knowledge
- already held Objective-C knowledge
- already held OpenEdge Advanced Business Language knowledge
- already held PHP knowledge
- already held Pascal (computer programming) knowledge
- already held Perl knowledge
- already held Prolog (computer programming) knowledge
- already held R knowledge
- already held Ruby (computer programming) knowledge
- already held SAP R3 knowledge
- already held SAS language knowledge
- already held SPARQL knowledge
- already held Scala knowledge
- already held Scratch (computer programming) knowledge
- already held Smalltalk (computer programming) knowledge
- already held Swift (computer programming) knowledge
- already held TypeScript knowledge
- already held VBScript knowledge
- already held Visual Basic knowledge
- already held assess ICT knowledge skill
- already held build business relationships skill
- already held business intelligence knowledge
- already held database development tools knowledge
- already held design application interfaces skill
- already held design database scheme skill
- already held manage ICT semantic integration skill
- already held manage business knowledge skill
The 1 learning area not shown above
- optional, not held business analytics optional
15 supplementary skills, helpful but not required
- optional, not held build recommender systems optional
- optional, not held Agile project management optional
- optional, not held ICT project management methodologies optional
- optional, not held Process-based management optional
- optional, not held build predictive models optional
- optional, not held business analytics optional
- optional, not held lean project management optional
- optional, not held manage ICT data classification optional
- optional, not held utilise machine learning optional
- optional, not held apply systemic design thinking optional
- optional, not held computer vision optional
- optional, not held deep learning optional
- optional, not held identify processes for re-engineering optional
- optional, not held operational research optional
- optional, not held perform dimensionality reduction optional
28 held skills the artificial intelligence engineer role does not ask for
- not needed by the target role ABAP knowledge
- not needed by the target role AJAX knowledge
- not needed by the target role APL knowledge
- not needed by the target role ASP.NET knowledge
- not needed by the target role ICT project management knowledge
- not needed by the target role ICT security legislation knowledge
- not needed by the target role cloud technologies knowledge
- not needed by the target role cognitive psychology knowledge
- not needed by the target role create database diagrams skill
- not needed by the target role create semantic trees skill
- not needed by the target role data engineering knowledge
- not needed by the target role decision support systems knowledge
- not needed by the target role define database physical structure skill
- not needed by the target role implement a virtual private network skill
- not needed by the target role manage cloud data and storage skill
- not needed by the target role manage database skill
- not needed by the target role manage digital documents skill
- not needed by the target role natural language processing knowledge
- not needed by the target role store digital data and systems skill
- not needed by the target role systems theory knowledge
- not needed by the target role use an application-specific interface skill
- not needed by the target role use back-up and recovery tools skill
- not needed by the target role use databases skill
- not needed by the target role use markup languages skill
- not needed by the target role use query languages skill
- not needed by the target role use spreadsheets software skill
- not needed by the target role utilise decision support system skill
- not needed by the target role web programming knowledge
12 gaps that are knowledge rather than practice
Knowledge gaps usually close through study. Practical skill gaps usually need something you can point at.
- still to learn data models required
- still to learn algorithms required
- still to learn artificial neural networks required
- still to learn computer simulation required
- optional, not held Agile project management optional
- optional, not held ICT project management methodologies optional
- optional, not held Process-based management optional
- optional, not held business analytics optional
- optional, not held lean project management optional
- optional, not held computer vision optional
- optional, not held deep learning optional
- optional, not held operational research optional
Common questions about this move
Can a knowledge engineer become an artificial intelligence engineer?
Yes, and it is a moderate move. A knowledge engineer already covers 64% of what an artificial intelligence engineer is expected to do: 61 skills carry over, 18 of which the artificial intelligence engineer role treats as required.
What skills does a knowledge engineer need to become an artificial intelligence engineer?
13 required skills are missing, plus 15 optional ones. They fall into 7 areas of the ESCO skill hierarchy, led by working with computers. The single most important is data models.
How hard is the move from knowledge engineer to artificial intelligence engineer?
Its learning distance is 49.4 out of 100, which is the moderate band. That accounts for both how much is missing and how specialised those skills are.
How this record was compiled
Both occupations are taken from ESCO, which lists the skills and knowledge each occupation is expected to have and marks every one required or optional. Nothing here is a prediction about hiring, and nothing here knows that a particular employer wants a particular certificate. Treat Table 3 as a starting point for your own research rather than a syllabus. The full method states what these figures can and cannot tell you.