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Companies Using Vertex AI

1,156 companies are actively hiring Vertex AI talent, with 2,801 open roles across 50 countries.

1,156
Companies
2,801
Open Roles
50
Countries

Vertex AI is Google Cloud's unified platform for building, deploying, and scaling machine learning models — and when companies hire for it, they're signaling active investment in production-grade AI infrastructure, not just experimentation. With 1,216 companies currently posting Vertex AI roles, the demand reflects a shift from prototype to deployment, meaning these organizations are actively purchasing MLOps tooling, cloud compute capacity, and data pipeline services. Companies hiring here are likely evaluating or already buying BigQuery ML integrations, Kubeflow orchestration, and managed training infrastructure.

Buying Signal

When a company posts Vertex AI roles, they're likely mid-build on a cloud-native AI product or migrating ML workloads from on-premise or competing platforms to Google Cloud. This signals near-term spend on cloud infrastructure, data labeling tools, model monitoring, and AI security solutions. Sales reps at Google Cloud ISVs, MLOps platforms, or data integration vendors should be prioritizing these accounts immediately.

Top Companies49 shown

Top companies hiring Vertex AI talent in 2026
CompanyIndustryHQ LocationSizeJobsLast SeenLinks
Crowe
crowe.com
 Professional Services Chicago, United States 5,001+ 41 2mo ago
Docusign
docusign.com
 Software Development San Francisco, United States 5,001+ 7 2mo ago
Tiger Analytics
tigeranalytics.com
 Business Consulting and Services Santa Clara, United States 5,001+ 7 2mo ago
Brillio
brillio.com
 Information Technology & Services Dallas, United States 5,001+ 6 2mo ago
Grid Dynamics
griddynamics.com
 IT Services and IT Consulting San Ramon, United States 1,001–5,000 43 2mo ago
Quantiphi
quantiphi.com
 IT Services and IT Consulting Marlborough, United States 1,001–5,000 16 2mo ago
Exadel
exadel.com
 Software Development Walnut Creek, United States 1,001–5,000 13 2mo ago
West Monroe
westmonroe.com
 Business Consulting and Services Chicago, United States 1,001–5,000 10 2mo ago
Waymo
waymo.com
 Technology, Information and Internet Mountain View, United States 1,001–5,000 8 2mo ago
C5i
c5i.ai
 Business Consulting and Services Edison, United States 1,001–5,000 7 2mo ago
Oscar Health
hioscar.com
 Insurance New York, United States 1,001–5,000 7 2mo ago
Commit
comm-it.com
 Software Development Petah Tikva, Israel 501–1,000 7 2mo ago
Cresta
cresta.com
 Software Development Sunnyvale, United States 201–500 64 7w ago
Neurons Lab
neurons-lab.com
 IT Services and IT Consulting Greater London, United Kingdom 201–500 25 2mo ago
Puffy
puffy.com
 Retail Los Angeles, United States 201–500 23 2mo ago
Netconomy
netconomy.net
 Software Development Graz, Austria 201–500 12 2mo ago
DaCodes.
dacodes.com
 Information Technology & Services Houston, United States 201–500 10 3mo ago
Allia Health Group
alliahealth.co
 Hospitals and Health Care 201–500 7 2mo ago
Fetcherr
fetcherr.io
 Software Development Netanya, Israel 201–500 7 2mo ago
MoonPay
moonpay.com
 Software Development United States 201–500 7 2mo ago
The Mutual Group
themutualgroup.com
 Insurance West Des Moines, United States 201–500 7 2mo ago
Fireworks AI
fireworks.ai
 Software Development Redwood City, United States 51–200 25 2mo ago
Fluxon
fluxon.com
 Software Development San Francisco, United States 51–200 17 2mo ago
Datamatics Technologies
datamaticstechnologies.com
 IT Services and IT Consulting United Arab Emirates 51–200 8 2mo ago
High 5 Games
high5games.com
 Mobile Gaming Apps Mahwah, United States 51–200 8 2mo ago
Beyond
bynd.com
 IT Services and IT Consulting Greater London, United Kingdom 51–200 7 3mo ago
C the Signs
cthesigns.com
 Hospitals and Health Care Greater London, United Kingdom 51–200 7 3mo ago
Pathway
pathway.com
 Software Development Palo Alto, United States 11–50 12 3mo ago
The Hartford
thehartford.com
 Financial Services Hartford, United States 10,001+ 92 7w ago
Slalom
slalom.com
 Business Consulting and Services Seattle, United States 10,001+ 57 2mo ago
Google
google.com
 Software Development Mountain View, United States 10,001+ 54 2mo ago
Intuit
intuit.com
 Software Development Mountain View, United States 10,001+ 19 2mo ago
Boston Consulting Group (BCG)
bcg.com
 Business Consulting and Services Boston, United States 10,001+ 17 2mo ago
Credit Karma
creditkarma.com
 Consumer Services Oakland, United States 10,001+ 16 2mo ago
Lloyds Banking Group
lloydsbankinggroup.com
 Financial Services Greater London, United Kingdom 10,001+ 14 2mo ago
Virtusa
virtusa.com
 IT Services and IT Consulting Southborough, United States 10,001+ 13 2mo ago
GlobalLogic
globallogic.com
 Software Development Santa Clara, United States 10,001+ 12 2mo ago
GEICO
gei.co
 Insurance Washington, United States 10,001+ 10 2mo ago
HCLTech
hcltech.com
 IT Services and IT Consulting Noida, India 10,001+ 10 2mo ago
Devoteam
devoteam.com
 Business Consulting and Services Levallois-Perret, France 10,001+ 9 2mo ago
Equifax
equifax.com
 Financial Services Atlanta, United States 10,001+ 9 2mo ago
Publicis Sapient
publicissapient.com
 Business Consulting and Services Boston, United States 10,001+ 9 2mo ago
EXL
exlservice.com
 Business Consulting and Services New York, United States 10,001+ 8 7w ago
Ford Motor Company
ford.com
 Motor Vehicle Manufacturing Dearborn, United States 10,001+ 8 2mo ago
OpenText
opentext.com
 Software Development Waterloo, Canada 10,001+ 8 2mo ago
Atos
atos.net
 IT Services and IT Consulting Bezons, France 10,001+ 7 2mo ago
KPMG India
bl.ink
 Business Consulting and Services Gurgaon, India 10,001+ 7 2mo ago
Kyndryl
kyndryl.com
 IT Services and IT Consulting New York, United States 10,001+ 7 2mo ago
Palo Alto Networks
paloaltonetworks.com
 Computer and Network Security Santa Clara, United States 10,001+ 7 2mo ago

1,156 companies use Vertex AI. Want the full list?

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▲Market Signal

Nearly 2,900 open roles across 1,216 companies suggests Vertex AI adoption has reached critical mass — this isn't early adopter activity, it's mainstream enterprise deployment. The ratio of roughly 2.4 roles per company indicates most of these are team-building efforts, not single backfills.

⦿Stack Intelligence

Companies pairing Vertex AI with BigQuery, TensorFlow, and Kubeflow are building end-to-end ML pipelines entirely within the Google Cloud ecosystem — a stack choice that signals high switching costs and deep platform commitment. Python and Kubeflow co-occurrence points to teams building custom orchestration, which creates openings for workflow automation and observability vendors. If you sell data catalog, feature store, or CI/CD tooling, this tech combination identifies your highest-fit accounts.

Vertex AI Hiring Landscape

Where and how companies hire Vertex AI talent

By Country

United States
395
India
298
United Kingdom
83
Canada
71
Brazil
63
Poland
41
Spain
37
France
38

By Industry

IT Services and IT Consulting
326
Software Development
220
Business Consulting and Services
54
Financial Services
62
Technology, Information and Internet
85
Information Technology & Services
47
Retail
35
Professional Services
7

Top Roles

AI Engineer63Data Scientist51Google Cloud Data & AI Engineer48AI Testing Engineer33Senior AI Engineer31Machine Learning Engineer30Senior Machine Learning Engineer30AI Architect29UX/UI Designer 'AI-Powered' (On-site in Dubai)23Data Engineer22Senior Data Scientist22Senior Software Engineer22

Related Technologies

Google CloudTensorFlowBigQueryPythonKubeflow

What is Vertex AI?

Vertex AI is Google Cloud's ML platform for training and deploying models. Vertex AI hiring signals GCP-native machine learning.

Don't just know who uses Vertex AI.

Know who's actively building with it right now.

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Browse Vertex AI by Region & Industry

Vertex AI by Country (2)

United States (395)India (298)

Vertex AI by Industry (2)

IT Services and IT Consulting (326)Software Development (220)

Frequently Asked Questions

What is Vertex AI?

Vertex AI is Google Cloud's managed machine learning platform that lets teams train, tune, and deploy models without managing the underlying infrastructure. For business teams, it means faster time-to-production for AI applications. Companies hiring for it are actively building or scaling those applications right now.

Why should sales teams track Vertex AI hiring?

Vertex AI hiring predicts near-term cloud and AI tooling spend — companies in this phase are actively evaluating vendors for data, MLOps, and security. A sales rep at a data pipeline or model monitoring company could use this signal to prioritize outreach before budget is already allocated.

Who should be selling to companies that use Vertex AI?

Vendors best positioned to sell to these companies include cloud cost management platforms, MLOps and model observability tools, data integration and ETL providers, and AI compliance or governance solutions.