Partner Solutions Architect, AI Infrastructure and Sovereign Cloud, Cloud

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.

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

• Health, dental, vision, life, disability insurance
• Retirement Benefits: 401(k) with company match
• Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
• Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
• Baby Bonding Leave: 18 weeks
• Holidays: 13 paid days per year

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;
Kirkland, WA, USA;
Miami, FL, USA;
Reston, VA, USA;
Washington D.C., DC, USA.

• 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.

• Expertise with automation tools such as Terraform or Ansible.
• Proficiency in one or more programming languages: SQL, PyTorch, Tensor Flow, 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.

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…