Table 1Transition record

knowledge engineertoartificial 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.

From knowledge engineer

64%

Overlap1

To artificial intelligence engineer

61 Skills carried over

13 Required, not held

49.4 Difficulty2

adjacent 0–30

moderate 30–55

substantial 55–75

career change 75–100

this move, 49.4

This move: 49.4 of 100 · moderate

1 Share of the artificial intelligence engineer role’s weighted skill requirement already met by the knowledge engineer profile. Required skills count in full, supplementary skills at 0.35. Directional: the figure for the reverse move differs. 2 Combines what is missing with how specialised it is, so a gap of general skills scores easier than the same number of narrow ones.

Table 2

Table 2 · What you already bring

Of the 61 skills that carry over, these are the ones fewest other occupations ask for. A 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.

Skill the target role also needs Area

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

Table 3 · What you would need to learn

The 28 missing skills fall into 7 areas of the ESCO skill hierarchy, numbered below in the order worth working in: the areas carrying the most required skills come first, and inside each one the required skills sit above the supplementary ones.

Skill to acquire Tier

01 working with computers 4 required, 4 supplementary

required, not held digital data processing required
required, not held creatively use digital technologies required
required, not held develop statistical software required
required, not held 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

02 information and communication technologies (icts) 4 required, 2 supplementary

required, not held data models required
required, not held algorithms required
required, not held artificial neural networks required
required, not held computer simulation required

optional, not held computer vision optional
optional, not held deep learning optional

03 communication, collaboration and creativity 3 required, 1 supplementary

required, not held deliver visual presentation of data required
required, not held design process required
required, not held develop creative ideas required

optional, not held apply systemic design thinking optional

04 information skills 2 required, 1 supplementary

required, not held analyse big data required
required, not held create data sets required

optional, not held build predictive models optional

05 business, administration and law 5 supplementary

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

06 management skills 1 supplementary

optional, not held identify processes for re-engineering optional

1 further area in the appendix

Table 4

Table 4 · Where to start

The 3 entries a 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

Appendix · The rest of the record

All 61 skills that carry over

Skill Type

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

Skill to acquire Tier

07 natural sciences, mathematics and statistics 1 supplementary

optional, not held business analytics optional

15 supplementary skills, helpful but not required

Skill to acquire Tier

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

Skill Type

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.

Skill to acquire Tier

required, not held data models required
required, not held algorithms required
required, not held artificial neural networks required
required, not held 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

Index

Other moves recorded from knowledge engineer

Full index of moves from knowledge engineer

Note

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.