Partner Solutions Architect, Sovereign Cloud AI, Google Cloud

Google • Miami, FL

2d • $183,000 - $265,000

About The Position

As a Partner Solutions Architect, you will serve as a trusted advisor to System Integrator (SI) and Independent Software Vendor (ISV) partners. Drawing on 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. You will lead implementation and integration of partner solutions across Google Cloud's AI infrastructure and Sovereign Cloud product portfolio.

You will collaborate with Partner Development Managers and Product, Engineering, and Go-to-Market (GTM) teams to build relationships across partner organizations, including executives, product and engineering leaders, and engineering teams. You will create and curate reusable technical assets, including reference architectures, solution guides, accelerators, blog posts, and demonstrations. You will also represent Google Cloud and strategic partners at industry events, presenting joint solutions that support product launches and adoption of partner solutions built on Google Cloud.

Requirements

• 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 deploying GPUs in data centers and with 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 working within technology ISVs or SaaS companies that leverage AI/ML technologies in a public cloud environment.

Nice To Haves

• Expertise with automation tools such as Terraform or Ansible.
• Proficiency in one or more of SQL, PyTorch, TensorFlow, Pandas, R, and Python.
• Understanding of AI models, large language models, AI agentic workflows, AI-specialized infrastructure, and AI accelerators.
• Deep technical knowledge and experience building AI solutions using Google Cloud products and services, such as Vertex AI, Gemini Enterprise, and ADK.
• Ability to build relationships across technical and business functions within multiple organizations.
• Ability to architect developer training curricula, lead technical workshops, write developer guides, and build customer-facing technical labs.

Responsibilities

• Work closely with SIs and ISVs to scale platforms focused on Sovereign, AI Infrastructure, and Security capabilities, and build joint product capabilities across AI, Sovereign, Security, DevOps, and Analytics solution pillars.
• Act as the technical bridge for Google Product and Engineering teams by creating integrations, resolving blockers, shaping roadmaps, and addressing partner technical challenges related to Sovereign Cloud deployment and operations.
• Lead and participate in technical discussions and workshops to identify and qualify business opportunities and understand partner technical objectives and capabilities.
• Recommend integration strategies, enterprise architectures, platforms, and application infrastructure for joint Sovereign Cloud and AI solutions.
• Develop reusable reference architectures, automation scripts, and deployment guides.
• Coordinate and influence stakeholders across Product, Engineering, Solutions, Professional Services, and DevRel to align roadmaps, share partner insights, and resolve technical impediments.
• Create and curate reusable technical assets, including solution guides, accelerators, blog posts, and demonstrations.
• Represent Google Cloud and strategic partners at industry events and present joint solutions.

Benefits

• 20% bonus target
• Equity
• Benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Senior