Google Cloud AI Jobs

Discover the latest remote and onsite Google Cloud AI roles across top active AI companies. Updated hourly.

Check out 170 new Google Cloud AI roles opportunities posted on The Homebase

Sr. Delivery Solutions Architect

New
Top rated
Databricks
Full-time
Full-time
Posted

You will act as a hands-on technical advisor throughout the sales process, leading technical evaluations and developing reference architectures and demo applications using Databricks' platform. You'll support integration with third-party applications, interact with the technical community, and drive customers toward successful adoption and outcomes.

Undisclosed

()

Maybe global
On-site
Apache Spark
SQL
AWS
Azure
Google Cloud

Workplace Manager

New
Top rated
Databricks
Full-time
Full-time
Posted

You will act as a hands-on technical advisor throughout the sales process, guiding technical evaluation and supporting client requirements using the Databricks Data Intelligence Platform. The job requires you to develop reference architectures, demos, and integration plans, ensuring client success and technical adoption.

Undisclosed

()

Maybe global
On-site
Apache Spark
Python
Scala
Java
R

Forward Deployed Engineer, Infrastructure Specialist (Public Sector)

New
Top rated
Cohere
Full-time
Full-time
Posted

Lead end-to-end deployment of the North AI platform in private cloud and on-premises environments for enterprise clients. Collaborate with IT teams to ensure secure, compliant integration and troubleshoot deployment issues to deliver robust client solutions.

Undisclosed

()

Maybe global
Remote OK
Kubernetes
Helm
Azure
AWS
Google Cloud

Engineering Manager - Streaming

New
Top rated
Databricks
Full-time
Full-time
Posted

You will be a technical expert in big data analytics, guiding technical evaluations and architectural solutions for clients throughout the sales process. You will work closely with sales and product teams to ensure customers successfully adopt and integrate the Databricks platform, supporting technical workshops, demos, and architectural design.

Undisclosed

()

Maybe global
On-site
AWS
Azure
Google Cloud
SQL
Apache Spark

Sr. Sales Enablement Program Manager

New
Top rated
Databricks
Full-time
Posted

As a pre-sales solution architect for analytics, AI, big data, and public cloud, you will lead technical evaluation phases throughout the sales process and act as a technical advisor to sales teams. You will help customers achieve concrete data-driven outcomes using the Databricks Data Intelligence Platform, supporting integration, solution proposals, and technical workshops.

Undisclosed

()

Maybe global
On-site
Apache Spark
AI
AWS
Azure
Google Cloud

Senior Specialist Solutions Architect - DS/ML/AI/GenAI

New
Top rated
Databricks
Full-time
Full-time
Posted

As a pre-sales solutions architect, you will lead technical evaluation phases in a hands-on environment, acting as a technical advisor to sales teams and collaborating with product teams to meet customer requirements. You will help customers achieve data-driven outcomes using Databricks, create reference architectures, and support the integration of Databricks with third-party applications.

Undisclosed

()

Maybe global
On-site
Apache Spark
SQL
Python
Scala
Java

Fullstack Growth Engineer

New
Top rated
Lovable
Full-time
Full-time
Posted

You will build the growth, ecosystem, and monetization systems that make Lovable and the apps on its platform sticky, discoverable, and revenue-generating. This includes shipping onboarding, distribution, marketplace, and monetization features, as well as collaborating across functions to grow the product and ecosystem.

Undisclosed

()

Maybe global
On-site
React
Golang
Rust
Cloudflare
Google Cloud

Manager of Professional Services (Project Managers)

New
Top rated
Databricks
Full-time
Full-time
Posted

The Manager of Professional Services (Project Managers) will lead technical evaluation phases in pre-sales as a solutions architect, collaborating closely with sales and product teams to deliver data-driven outcomes for customers using the Databricks platform. Responsibilities include supporting customer architecture, running workshops and technical events, integrating Databricks solutions, and optimizing customer environments.

Undisclosed

()

Maybe global
On-site
Apache Spark
AWS
Azure
Google Cloud
Python

Business Development Representative (UK, Ireland)

New
Top rated
Databricks
Full-time
Full-time
Posted

As a presales solutions architect for analytics, AI, big data, and public cloud, you will lead technical evaluation phases throughout the sales process and act as a technical advisor to the sales team. You will help customers achieve data-driven results using the Databricks platform, create reference architectures, and support the integration of Databricks with third-party applications.

Undisclosed

()

Maybe global
On-site
Apache Spark
AWS
Azure
Google Cloud
Python

Regional Workplace Manager, West Europe

New
Top rated
Databricks
Full-time
Full-time
Posted

Lead technical evaluation phases in pre-sales for analytics, AI, big data, and public cloud projects, acting as a technical advisor for sales and helping customers achieve data-driven outcomes using the Databricks platform. Work closely with customers to design architectures, create reference solutions, and enable integration of third-party applications, while engaging the tech community through workshops and meetups.

Undisclosed

()

Maybe global
On-site
Apache Spark
AI
Data Science
Data Engineering
AWS

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[{"question":"What are Google Cloud AI jobs?","answer":"Google Cloud AI jobs involve designing, developing, and deploying machine learning solutions on Google's cloud platform. Professionals in these positions build AI applications for business intelligence, healthcare diagnostics, finance, and manufacturing. They typically work with tools like Vertex AI and focus on implementing generative AI-driven solutions that span across AI, data, and infrastructure components."},{"question":"What roles commonly require Google Cloud skills?","answer":"Roles requiring Google Cloud skills include Field Solutions Architects for Generative AI, Customer Engineers for Cloud AI, Cloud Artificial Intelligence Engineers, and Senior Software Engineers specializing in AI/ML. These positions focus on cloud-native architecture, containerization with Kubernetes, machine learning implementation, and designing comprehensive solutions across AI, data, and infrastructure domains."},{"question":"What skills are typically required alongside Google Cloud?","answer":"Alongside Google Cloud expertise, professionals need experience with AI/ML frameworks like TensorFlow, containerization tools such as Kubernetes, and programming in Python, C++, or Java. Knowledge of machine learning algorithms, deep learning, natural language processing, and ML infrastructure for model deployment is essential. Understanding of cloud security, access controls, and data processing pipelines is also frequently required."},{"question":"What experience level do Google Cloud AI jobs usually require?","answer":"Google Cloud AI positions typically require a bachelor's degree with 5+ years of software development experience. Most roles ask for 3-5 years working with generative AI techniques like LLMs and multi-modal models. Experience with cloud-native architecture, ML infrastructure, and AI frameworks is essential. Senior positions often require demonstrated expertise in software design, data structures, and algorithms."},{"question":"What is the salary range for Google Cloud AI jobs?","answer":"The provided research doesn't contain specific salary information for Google Cloud AI jobs. Compensation typically varies based on factors like experience level, location, company size, specific role responsibilities, and the candidate's expertise with Google Cloud tools, AI frameworks, and specialized machine learning technologies."},{"question":"Are Google Cloud AI jobs in demand?","answer":"Yes, Google Cloud AI jobs show strong demand across multiple sectors including tech, healthcare, finance, and retail. Companies are actively recruiting for various positions like Solutions Architects, Customer Engineers, Software Engineers, and AI Trainers. Job platforms like Indeed and ZipRecruiter list numerous openings, particularly for professionals who combine cloud expertise with AI/ML capabilities."},{"question":"What is the difference between Google Cloud and AWS in AI roles?","answer":"The provided research doesn't contain comparative information between Google Cloud and AWS in AI roles. Both platforms offer comprehensive machine learning services, but they differ in their specific tools, pricing models, integration capabilities, and specialized AI features. The choice between them often depends on a company's existing infrastructure, specific project requirements, and team expertise."}]