Artificial intelligence engineer to knowledge engineer
An artificial intelligence engineer already meets 67% of what the knowledge engineer role asks for. The move turns on 9 required skills not yet in the profile.
47.6/ 100
1 How much of what a knowledge engineer is expected to do is already part of an artificial intelligence 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 knowledge engineer role is recorded as needing, required and optional together. What these numbers mean.
Why this move works
A knowledge engineer role treats 16 of its required skills as things an artificial intelligence engineer already does. You would walk in with these on day one.
- analyse business requirements
- apply ICT systems theory
- assess ICT knowledge
- business intelligence
- business process modelling
- data science
What stands in the way is 9 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. A knowledge engineer role needs them, and most people applying for one will not have them already. This is the part of an artificial intelligence engineer background worth leading with.
- already held manage ICT semantic integration working with computers
- already held design application interfaces communication, collaboration and creativity
- 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 16 the knowledge 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 use an application-specific interface required
- still to learn use markup languages required
- still to learn use databases required
- optional, not held define database physical structure optional
- optional, not held implement a virtual private network optional
- optional, not held use query languages optional
- optional, not held utilise decision support system optional
- optional, not held manage digital documents optional
- optional, not held store digital data and systems optional
- optional, not held use back-up and recovery tools optional
- optional, not held use spreadsheets software optional
- still to learn systems theory required
- still to learn web programming required
- still to learn data engineering required
- optional, not held ABAP optional
- optional, not held AJAX optional
- optional, not held APL optional
- optional, not held ASP.NET optional
- optional, not held cloud technologies optional
- optional, not held decision support systems optional
- still to learn create semantic trees required
- still to learn manage database required
- optional, not held manage cloud data and storage optional
- still to learn natural language processing required
- optional, not held ICT project management optional
- optional, not held ICT security legislation optional
- optional, not held create database diagrams optional
1 further area in the appendix
Table 4 · Where to start
The 3 entries a knowledge engineer role is least likely to hire without. The ordering is computed from the skill data, not from what pays.
- 01 create semantic trees practise this
- 02 natural language processing study this
- 03 systems theory study this
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 analyse business requirements skill
- already held apply ICT systems theory skill
- already held assess ICT knowledge skill
- already held business intelligence knowledge
- already held business process modelling knowledge
- already held data science knowledge
- already held database development tools knowledge
- already held define technical requirements skill
- already held information extraction knowledge
- already held information structure knowledge
- already held manage ICT semantic integration skill
- already held manage business knowledge skill
- 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 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 Python (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 build business relationships skill
- already held computer programming knowledge
- already held data mining knowledge
- already held design application interfaces skill
- already held design database scheme skill
- already held information architecture knowledge
- already held information categorisation knowledge
- already held unstructured data knowledge
- already held visual presentation techniques knowledge
The 1 learning area not shown above
- optional, not held cognitive psychology optional
19 supplementary skills, helpful but not required
- optional, not held ABAP optional
- optional, not held AJAX optional
- optional, not held APL optional
- optional, not held ASP.NET optional
- optional, not held ICT project management optional
- optional, not held ICT security legislation optional
- optional, not held cloud technologies optional
- optional, not held create database diagrams optional
- optional, not held decision support systems optional
- optional, not held define database physical structure optional
- optional, not held implement a virtual private network optional
- optional, not held manage cloud data and storage optional
- optional, not held use query languages optional
- optional, not held utilise decision support system optional
- optional, not held cognitive psychology optional
- optional, not held manage digital documents optional
- optional, not held store digital data and systems optional
- optional, not held use back-up and recovery tools optional
- optional, not held use spreadsheets software optional
28 held skills the knowledge engineer role does not ask for
- not needed by the target role Agile project management knowledge
- not needed by the target role ICT project management methodologies knowledge
- not needed by the target role Process-based management knowledge
- not needed by the target role algorithms knowledge
- not needed by the target role analyse big data skill
- not needed by the target role apply systemic design thinking skill
- not needed by the target role artificial neural networks knowledge
- not needed by the target role build predictive models skill
- not needed by the target role build recommender systems skill
- not needed by the target role business analytics knowledge
- not needed by the target role computer simulation knowledge
- not needed by the target role computer vision knowledge
- not needed by the target role create data sets skill
- not needed by the target role creatively use digital technologies skill
- not needed by the target role data models knowledge
- not needed by the target role deep learning knowledge
- not needed by the target role deliver visual presentation of data skill
- not needed by the target role design process skill
- not needed by the target role develop creative ideas skill
- not needed by the target role develop statistical software skill
- not needed by the target role digital data processing skill
- not needed by the target role identify processes for re-engineering skill
- not needed by the target role lean project management knowledge
- not needed by the target role manage ICT data classification skill
- not needed by the target role operational research knowledge
- not needed by the target role perform dimensionality reduction skill
- not needed by the target role use data processing techniques skill
- not needed by the target role utilise machine learning skill
13 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 natural language processing required
- still to learn systems theory required
- still to learn web programming required
- still to learn data engineering required
- optional, not held ABAP optional
- optional, not held AJAX optional
- optional, not held APL optional
- optional, not held ASP.NET optional
- optional, not held ICT project management optional
- optional, not held ICT security legislation optional
- optional, not held cloud technologies optional
- optional, not held decision support systems optional
- optional, not held cognitive psychology optional
Other moves recorded from artificial intelligence engineer
Common questions about this move
Can an artificial intelligence engineer become a knowledge engineer?
Yes, and it is a moderate move. An artificial intelligence engineer already covers 67% of what a knowledge engineer is expected to do: 61 skills carry over, 16 of which the knowledge engineer role treats as required.
What skills does an artificial intelligence engineer need to become a knowledge engineer?
9 required skills are missing, plus 19 optional ones. They fall into 7 areas of the ESCO skill hierarchy, led by working with computers. The single most important is create semantic trees.
How hard is the move from artificial intelligence engineer to knowledge engineer?
Its learning distance is 47.6 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.