Want to professionalize your AI skills, pivot to an AI role and increase your salary?
Master AI Engineering with the most practical and comprehensive LLM Development certifications at Towards AI Academy.

Google

Cloud Data and AI Engineer, Professional Services

Google

Published 14 May 2026
USA
127K - 183K USD Annual
Full Time
27500 - 275000 people

Share this job

Role Highlights

Languages used

Python
Java
C++
GO

Key skills

Machine Learning
ML Ops
Computer Science
Integrations
Product Management
Relational Database
Technical Leadership
Data Warehousing
Data Migration
AI Engineer
LLMs
Cloud
Security
ETL
ELT
Storage
Clustering
Logging
Architecture
TroubleShooting
Deployment

Tools, Libraries and Frameworks

GCP
RDS
Aurora

Description

The role involves guiding public sector customers in the development, configuration, and deployment of data and AI solutions. Professionals in this position provide architecture guidance, best practices, and technical support for cloud product implementations. Responsibilities include designing data models, managing data migrations, and performing capacity planning. The work requires consulting with stakeholders to design solutions and deploying machine learning models. Additionally, the role involves delivering educational workshops and collaborating with internal product teams to improve cloud features.

Required Qualifications and Skills

Candidates must possess a bachelor's degree in Engineering, Computer Science, or a related field. A minimum of three years of experience in software development using Python, Java, or C++ is required, alongside experience with relational database technologies. Applicants must have experience implementing data and AI solutions and providing technical leadership. Furthermore, candidates must be US citizens and hold or be able to obtain a TS/SCI security clearance.

Disclaimer

Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.

About the company

Google

Size

275773

Website

goo.gle

HQ

Mountain View, US

Public/Private

Public Company

Description

At gTech's Users and Products team, innovations are focused on enhancing user engagement and solving complex customer needs through technical expertise and a deep understanding of Google's and Alphabet's broad product environments. The team acts as a bridge between Google’s users and its product teams, ensuring that user insights are integrated into product offerings which support numerous annual product launches. The newly formed Machine Learning Data Operations (MLDO) team within gUP Operations plays a critical role in delivering and tuning machine learning and GenAI data operations across Google’s product suite, leveraging extensive global vendor networks. Google's overarching goal is to create impactful products and services, with gTech playing a strategic role in bringing these solutions to fruition through technological and operational expertise.

Share

Share this job

Related jobs

Vertex AI
Computer Science
Integrations
Test Engineer
Taipei, Taiwan
Full Time
Vertex AI
Computer Science
UX
Product Design
Thailand
Remote
AI
NLP
Information Retrieval
NLU
Zurich, Switzerland
Full Time