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

What you'll do

• Build and scale partner solutions across AI, Sovereign Cloud, Security, DevOps, and Analytics, and resolve technical deployment and operations challenges.
• Lead technical discussions and workshops; recommend integration strategies, architectures, platforms, and application infrastructure.
• Coordinate with Product, Engineering, and other teams, and create reusable reference architectures, automation scripts, and deployment guides.

What they ask for

• 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, architecting cloud solutions for Kubernetes-based applications and Networking, and building and operationalizing ML models.
• Experience with GPU architecture, high performance Data Center Networking, Containerization and Kubernetes, and collaborating with or within technology ISVs or SaaS companies using AI/ML in a public cloud environment.

Nice to have

• Expertise with 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; experience building AI solutions with Google Cloud products and services.

Pay

$183000 - $265000 (USD) base salary

Tools

Google Cloud, Kubernetes, Terraform, Ansible, SQL, PyTorch, TensorFlow, Python

AI focus

Enables partners to build and integrate AI infrastructure and ML solutions, including solutions involving AI models, Large Language Models, agentic workflows, and AI accelerators.