Partner Solutions Architect, Sovereign Cloud AI, Google Cloud

Google LLC; Kirkland (WA); Hybride; USD 183 000 - 265 000; Plein temps

Avantages offerts par ce poste

Health, dental, vision, life insurance

401(k) with company match

Paid time off, 20 days

Sick time 40 hours/year (Seattle 69)

Maternity leave 28-30 weeks

Baby bonding leave 18 weeks

13 paid holidays

Résumé du poste

Google LLC is seeking a Partner Solutions Architect to serve as a trusted advisor to System Integrator and Independent Software Vendor partners. You will design and verify AI infrastructure solutions on Google Cloud, with a focus on Sovereign Cloud and advanced AI capabilities.

You will collaborate with cross-functional teams, create reusable technical assets, and lead workshops to drive joint solutions and successful product launches across partner ecosystems.

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.

Responsabilités

• Scale platforms with SIs and ISVs focused on Sovereign, AI Infrastructure, and Security capabilities across solution pillars.
• Act as the technical bridge for Google Product and Engineering teams to enable partner integrations.
• Lead deep technical discussions to identify business opportunities and align objectives.
• Recommend integration strategies, architectures, and deployment guides for joint AI solutions.
• Coordinate stakeholders across Product, Engineering, Solutions, and DevRel to align roadmaps.

Connaissances

7+ years experience

Cloud computing

GPU data center

ML model deployment

Kubernetes

Networking

AI/ML in public cloud

Formation

Bachelor's degree in Computer Science

Outils

Terraform

Ansible

SQL

PyTorch

TensorFlow

Description du poste

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.

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.