Solutions Architect, AI Apps and Platforms

Solutions Architect, AI Apps and Platforms

The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full-stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.

In this role, you will work with customers and Google Engineering teams to produce secure and scalable technical solutions and distribute them via multiple channels, including technical white papers, open-source repositories, webinars, videos, blogs, and live presentations. Your passion for technology, learning, and solving problems will empower various audience of decision makers to adopt the Google Cloud to build what’s next for their businesses.

As a Solutions Architect, AI Apps and Platforms, you will work with a variety of customers across industries to help them optimize their business use cases with Google Cloud. You will create technical solution assets to help customers securely deploy these alongside other cloud technologies, and present these solutions to customers, as well as represent these solutions at industry specific events. You will work with product and engineering teams that focus on these technologies to identify opportunities to reduce friction and increase adoption.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

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, 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.

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.

Compensation and Benefits

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

• Google Cloud Vertex Platform
• Generative AI applications
• Technical Solutions Architecture
• Python, Java, C++, Go programming
• MLOps and CI/CD
• AI Models and Agents
• Customer Engagement
• Platform Engineering
• System Design
• Automation Frameworks