Partner Solutions Architect, AI Infrastructure and Sovereign Cloud, Google Cloud

Google; Miami (FL); Presencial; USD 183.000 - 265.000; Jornada completa

Descripción de la vacante

Google Cloud is seeking a Partner Solutions Architect to empower SI and ISV partners with AI infrastructure and Sovereign Cloud expertise. You will guide design and verification of joint solutions, leveraging Google Cloud AI products and a broad partner ecosystem to drive adoption and successful product launches.

You will collaborate with Product, Engineering, GTM teams and partner executives, creating reusable technical assets and demos to scale customer value across multiple industries.

Formación

• Bachelor's degree in Computer Science or equivalent practical experience.
• 7 years of experience in customer or partner-facing technical roles in a cloud environment.
• Experience in data center deploying GPUs, cloud solutions architecture across Kubernetes-based applications and Networking.
• Experience building and operationalizing ML models.
• Experience with GPU architecture, high performance data center networking, containerization and Kubernetes.
• Experience collaborating with ISVs or SaaS companies, leveraging AI/ML in a public cloud.

Responsabilidades

• Learn more about benefits at Google .
• Work closely with SIs and ISVs to scale platforms focused on Sovereign, AI Infrastructure, and Security capabilities.
• Act as the technical bridge for Google Product and Engineering teams, creating integrations and roadmaps.
• Lead deep technical discussions and workshops to identify and qualify business opportunities.
• Recommend integration strategies and architectures, build reference architectures and deployment guides.
• Coordinate with stakeholders across Product, Engineering, Solutions, Professional Services, and DevRel to align roadmaps.

Conocimientos

SQL

Python

PyTorch

TensorFlow

Pandas

R

Educación

Bachelor's degree in Computer Science or equivalent

Herramientas

Kubernetes

Terraform

Ansible

Descripción del empleo

In most instances, this position requires in-person interviews as part of the hiring process.

The application window will be open until at least November 8, 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:

Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Cambridge, MA, USA; Chicago, IL, USA; Addison, TX, USA; Miami, FL, USA; Reston, VA, USA.

Minimum qualifications

• Bachelor's degree in Computer Science or equivalent practical experience.
• 7 years of experience in customer or partner-facing technical roles, within a cloud computing environment.
• Experience in data center deploying GPUs, cloud solutions architecture across Kubernetes based applications and Networking.
• Experience building and operationalizing ML models.
• Experience with GPU architecture, high performance Data Center Networking, Containerization and Kubernetes.
• Experience collaborating with or within technology ISVs or SaaS companies, leveraging AI/ML technologies in a public cloud environment.

Preferred qualifications

• Expertise with automation tools such as Terraform or Ansible.
• Proficiency in one or more programming languages: SQL, PyTorch, TensorFlow, Pandas, R and Python.
• Understanding AI Models, Large Language Models, AI Agentic workflows, AI specialized infrastructure and AI Accelerators.
• Deep technical knowledge and experience in building AI solutions using Google Cloud products and services (e.g., VertexAI, Gemini Enterprise, ADK).
• Ability to build relationships across technical and business functions within multiple organizations.
• Ability to architect developer training curriculums, lead technical workshops, write developer guides, and build out customer-facing technical labs.

About The Job

As a Partner Solutions Architect, you will serve as a trusted advisor to System Integrator (SI) and Independent Software Vendor (ISV) partners. Drawing on your deep technical expertise in modern public cloud platforms—with a focus on AI infrastructure and Sovereign Cloud—you will enable partners to design and verify solutions that solve complex joint customer technical and business challenges. Leveraging Google Cloud's technical differentiators, you will lead the implementation and integration of partner solutions across Google Cloud's AI infrastructure and Sovereign Cloud product portfolio.

In this role, you will collaborate closely with Partner Development Managers, Product, Engineering, and Go-to-Market (GTM) teams to build and scale relationships across all levels of partner organizations, including C-level executives, Heads of Product and Engineering, and their engineering teams. You will drive internal and external knowledge sharing by creating and curating reusable technical assets such as reference architectures, detailed solution guides, accelerators, blog posts, and demonstrations. Additionally, you will demonstrate thought leadership by representing Google Cloud and our strategic partners at industry events, presenting joint solutions that drive successful product launches and accelerate the adoption of partner solutions built on Google Cloud.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge 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.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $183000 - $265000 (USD) + 20% bonus target + equity + benefits

Responsibilities

Learn more about benefits at Google .

• Work closely with SIs and ISVs to scale platforms focused on Sovereign, AI Infrastructure, and Security capabilities, building joint product capabilities across solution pillars such as AI, Sovereign, Security, DevOps, and Analytics.
• Act as the technical bridge for Google Product and Engineering teams, creating new integrations, resolving blockers, shaping roadmaps, and unblocking partner technical challenges related to Sovereign Cloud deployment and operations.
• Lead and participate in deep technical discussions and workshops to identify and qualify business opportunities, comprehending partner technical objectives and capabilities.
• Recommend integration strategies, enterprise architectures, platforms, and application infrastructure to build joint Sovereign Cloud and AI solutions, while developing reusable reference architectures, automation scripts, and deployment guides.
• Coordinate and influence stakeholders across Product, Engineering, Solutions, Professional Services, and DevRel to align on roadmaps, share partner insights, and resolve technical impediments.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .