Solutions Architect, AI Apps and Platforms

Solutions Architect, AI Apps and Platforms

The application window for this Solutions Architect, AI Apps and Platforms role at Google will be open until at least February 26, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Austin, TX, USA; Atlanta, GA, USA; Boulder, CO, USA; Chicago, IL, USA; Addison, TX, USA; Miami, FL, USA.

About the Job

The Google Cloud Platform team empowers customers to transform and innovate their businesses using cloud technology. Our products prioritize security, reliability, and scalability, spanning from infrastructure to applications and hardware. As part of an entrepreneurial and rapidly expanding business, you will be crucial in understanding customer needs and shaping the future of how businesses of all sizes leverage technology to connect with customers, employees, and partners.

In this role, you will collaborate with customers and Google Engineering teams to develop secure, scalable technical solutions. These solutions will be disseminated through various channels, including technical white papers, open-source repositories, webinars, videos, blogs, and live presentations. Your passion for technology, continuous learning, and problem-solving will empower decision-makers to adopt Google Cloud for their future business endeavors.

As a Solutions Architect, AI Apps and Platforms, you will engage with diverse customers across industries to optimize their business use cases with Google Cloud. You will create technical solution assets to facilitate secure deployment alongside other cloud technologies and present these solutions to customers and at industry-specific events. Additionally, you will work closely with product and engineering teams focused on these technologies to identify opportunities for reducing friction and accelerating adoption.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry, delivering enterprise-grade solutions leveraging Google’s technology and tools for sustainable development. Customers in over 200 countries and territories trust Google Cloud to drive growth and resolve critical business challenges.

Responsibilities

• Lead technical discussions with customers, partners, and Googlers.
• Apply subject matter expertise regarding AI Models, Agents, and platforms to effectively promote Google Cloud with customers, at conferences, and online.
• Support account managers and sales engineering teams across all phases of customer engagement as needed.
• Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted for technical and business stakeholders.
• Provide customer and market feedback to product and engineering teams to help shape product direction.

Minimum Qualifications

• Bachelor's degree or equivalent practical experience.
• 5 years of experience project managing and delivering technical solutions.
• 2 years of experience with Google Cloud's Vertex Platform.
• Experience coding in Python, Java, C++, or Go, scripting, or using OSS frameworks.
• Experience with ADK, A2A, Model Inferencing, Evaluation, or Deployment.
• Experience in platform engineering or Git-based CI/CD within agile settings.

Preferred Qualifications

• Master's degree in Computer Science, a related engineering field, or equivalent work experience in a software/systems engineering or lead role.
• Experience with Vertex AI for building and deploying generative AI applications, including expertise with Agent Builder, Model Garden, and MLOps.
• Experience with automation frameworks and tools to accelerate adoption, consistency, and auditability.
• Experience architecting core cloud services, compute, storage, and networking to support customer use cases and requirements.

Compensation

The US base salary range for this full-time position is $147,000-$216,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Key skills/competency

• Solutions Architecture
• AI Platforms
• Google Cloud Vertex AI
• Generative AI
• MLOps
• Python
• Java
• C++
• Go
• CI/CD
• Technical Leadership