AI Cloud Engineer Skills and Job Description (October 2026)
Python is asked for by 49% of AI Cloud Engineer employers, the most common requirement across 300 live postings read in October 2026. Then AWS, Azure, Distributed Systems.
Median posted pay is $183,200, most postings between $152,500 and $223,690 — from 265 postings that disclosed it, across 42 companies.
Posted pay is up 8.6% since 2026-09-27 ($168,712 → $183,200).
These are ranges employers published in their own job postings — not salaries people typed into a form years ago.
What AI Cloud Engineer postings actually ask for
Ranked by how many of the 300 posting descriptions mention them.
Python49%
AWS43%
Azure33%
Distributed Systems29%
Java28%
SQL28%
CI/CD28%
Software Engineering28%
Kubernetes26%
Terraform26%
Data Science24%
GCP20%
LLM20%
Machine Learning20%
Cloud Platforms20%
Agile18%
PyTorch18%
Go16%
TensorFlow16%
Microservices16%
Information Systems14%
Docker14%
Ansible14%
Version Control14%
Data Engineering14%
Would your background clear the bar?
These are the requirements AI Cloud Engineer postings list. Paste one of those postings and your résumé — FitToHire checks you against every requirement and shows the evidence behind each verdict.
15 companies in this sample have AI Cloud Engineer postings open right now.
Median of remote-eligible postings against the rest.
Remote-eligible
$180,500
Onsite
$186,500
26 remote-eligible postings against 240 onsite. Onsite pays 3.2% more in this sample.
Pay by experience level
Level is taken from the posting title, so only postings that state one are counted.
Mid
$135,30042
Senior
$182,150122
Lead / Manager
$190,15010
Principal / Staff
$223,50012
Pay by location
Metros with at least three salaried postings.
New York, NY
$201,60015
Seattle, WA
$182,07512
Redmond, WA
$181,55011
Santa Clara, CA
$191,65010
Dallas, TX
$135,3007
San Francisco, CA
$203,0006
Arlington, VA
$190,6506
US
$189,8756
Pittsburgh, PA
$164,5005
Philadelphia, PA
$164,5005
Houston, TX
$164,5005
San Jose, CA
$228,5005
Where this data comes from
300 live postings analysed
265 (88%) published a salary range
30 (10%) were remote-eligible
51 distinct employers
Requirements read from 300 full posting descriptions
Each employer gets one vote in the median, so a company running a large hiring campaign cannot move it
Ranges are converted to annual figures; hourly and contract postings are normalised before comparison
How the requirements were read
Requirements are not keyword counts. Each posting is read by our extraction engine, which works out what the employer is actually asking for and separates a requirement from a section heading or a line of boilerplate. Two postings asking for the same thing in different words are counted once, because our skills graph knows which phrasings mean the same thing and which imply others.
The share beside each requirement is the percentage of distinct EMPLOYERS in that sample who asked for it, counted one vote per company so a firm posting the same role many times cannot inflate its own requirements. Measured, not estimated, and read from the posting text rather than counted as keywords.
Because every reading is dated, the movement figures above are real month-over-month change. Sites built on self-reported salaries cannot produce that number: their data has no posting date.