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

Software Engineer, Cloud Deployments

New
Top rated
Mistral AI
Full-time
Full-time
Posted

The Software Engineer, Cloud Deployments will develop integrations of Mistral’s AI products with major cloud providers, focusing on seamless, scalable, and automated deployment workflows. The role involves cross-functional collaboration, defining standards, and influencing cloud providers’ roadmaps while automating product deployment and monitoring.

Undisclosed

()

Maybe global
Hybrid
Python
Go
Kotlin
Scala
Java

Senior Software Engineer, Agentic Applications

New
Top rated
Databricks
Full-time
Full-time
Posted

Guide the technical evaluation phase for customers as a presales solutions architect, working hands-on to deliver and integrate Databricks' platform for big data, analytics, and AI solutions. Work with customers and the sales team to provide architectural guidance, develop demo applications, reference architectures, and support adoption and optimization of Databricks within enterprise ecosystems.

Undisclosed

()

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

DevOps Engineer

New
Top rated
Obviant
Full-time
Full-time
Posted

The DevSecOps / Platform Engineer will design, implement, and operate secure, cloud-native infrastructure powering core data and application platforms for a defense-focused company. They will develop CI/CD pipelines, automate deployments, uphold security practices, and collaborate across teams to ensure reliability, scalability, and compliance for government users.

Undisclosed

()

Maybe global
Hybrid
AWS
Google Cloud
Azure
Kubernetes
Terraform

Staff Software Engineer, Observability

New
Top rated
Databricks
Full-time
Full-time
Posted

You will serve as a technical advisor during the sales process, guiding hands-on technical evaluation and working with product teams to meet customer requirements. Your role involves supporting customers to achieve data-driven outcomes with the Databricks platform, creating reference architectures, and integrating Databricks with third-party applications.

Undisclosed

()

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

Sr. Manager, Sales Development

New
Top rated
Databricks
Full-time
Full-time
Posted

Guide the technical evaluation phase in a hands-on environment as a pre-sales solutions architect, serving as a technical advisor to the sales team. Assist customers with deriving concrete data-driven outcomes using the Databricks platform, supporting integration into enterprise ecosystems, optimizing deployments, and leading technical community interactions.

Undisclosed

()

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

Solution Delivery Lead

New
Top rated
webAI
Full-time
Full-time
Posted

The Solution Delivery Lead guides the delivery of major public sector customer projects, translating complex mission needs into AI technology outcomes. They manage cross-functional teams and relationships with senior stakeholders while building strategies and action plans to ensure impactful AI solution delivery.

Undisclosed

()

Maybe global
Remote OK
AWS
Azure
Google Cloud
DevOps

Staff Infrastructure Security Engineer

New
Top rated
Crusoe
Full-time
Full-time
Posted

The engineer will architect, deploy, and operationalize foundational security services to support Crusoe's move toward Zero Trust, serving as a technical leader for secrets management and identity architecture. Responsibilities span from driving enterprise-wide platforms like HashiCorp Vault to defining trust patterns and secure onboarding in a hybrid, multi-cloud environment.

Undisclosed

()

Maybe global
On-site
Terraform
Google Cloud
Kubernetes
Okta
Go

Sr. Engagement Manager - Retail

New
Top rated
Databricks
Full-time
Full-time
Posted

You will act as a technical advisor throughout the sales process, guiding technical evaluations and collaborating with product teams to realize customer requirements. Your role includes supporting customers' adoption of Databricks, creating reference architectures, demos, and integration plans, while optimizing existing environments and engaging with the technical community through events and workshops.

Undisclosed

()

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

Named Core Account Executive

New
Top rated
Databricks
Full-time
Full-time
Posted

Act as a technical advisor in the sales process, leading technical evaluations and guiding customers in utilizing the Databricks Data Intelligence Platform for specific data-driven outcomes. Collaborate with the product team, create reference architectures, integration plans, and demo applications, and support clients in adopting and optimizing Databricks solutions.

Undisclosed

()

Maybe global
Remote OK
Apache Spark
AWS
Azure
Google Cloud
SQL

Strategic Core Account Executive

New
Top rated
Databricks
Full-time
Full-time
Posted

Serve as a technical pre-sales architect and advisor, guiding customers through technical evaluation and integration of Databricks' platform, with a focus on big data, analytics, and AI. Lead solution design, architecture, and demonstrations, support architecture integration with Databricks and third-party apps, and engage with clients and the technical community.

Undisclosed

()

Maybe global
Remote OK
Apache Spark
Python
Scala
Java
R

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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."}]