> Markdown version of [/jobs/ext/3958451-partner-solutions-architect-sovereign-cloud-ai-google-cloud](https://www.wearedevelopers.com/jobs/ext/3958451-partner-solutions-architect-sovereign-cloud-ai-google-cloud). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Partner Solutions Architect, Sovereign Cloud AI, Google Cloud - **Company:** Google LLC - **Location:** Addison, TX, United States - **Experience:** Expert - **Salary:** $183,000.0 - $265,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Automation of Tests, Software as a Service, Cloud Computing, Data Centers, DevOps, R (Programming Language), Python (Programming Language), Machine Learning, Cloud Services, Ansible, Tensorflow, Gemini Enterprise (Agent Platform), SQL Databases, AI Infrastructure, Graphics Processing Unit (GPU), Google Cloud, Pytorch, Large Language Models, Google Vertex AI, Agentic-AI, Data Center Networking, Pandas, Containerization, AI Platforms, Kubernetes, Information Technology, Terraform, Programming Languages - **Published:** October 27, 2026 - **Apply:** https://dejobs.org/x/x/542048AA90424B01B6B8F6D1D694D45E/job/ ## About the Role Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain., * 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, 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. ## Description * 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.