Partner Applied AI Engineer, Google Cloud
OpenAI · San Francisco
About this role
## About the Team The Applied AI Engineering team helps developers and enterprises deploy generative AI safely and effectively. You’ll serve as a trusted technical advisor, helping customers and partners move from early experimentation to production-scale AI systems. As a **Partner Applied AI Engineer (Google Cloud)**, you’ll help customers build with **OpenAI** in the cloud environment they already use. You’ll work with **Google Cloud** and its partner ecosystem to turn early implementations into repeatable approaches that field teams can deliver independently. --- ## About the Role You’ll be a primary technical counterpart to Google Cloud Customer Engineers, AI specialists, and partner technical teams. You’ll shape joint technical strategy, define engagement models, and build systems that scale beyond individual deals. This role spans **pre- and post-sales**: guiding enterprise customers from discovery through production, while enabling Google Cloud and partners to lead subsequent deployments. It combines hands-on engineering, technical judgment, and ecosystem leadership. You’ll bring deep familiarity with **Gemini Enterprise Agent Platform (formerly Vertex AI)**—especially **Model Garden** and its **Python SDK tooling**—and help customers choose supported OpenAI integration paths based on workload requirements, model capabilities, security controls, and operational needs. --- ## In This Role, You Will ### Strategic Google Cloud engagement and influence - Build trusted relationships with Google Cloud field leadership, Customer Engineers, AI specialists, and partner teams across regions. - Influence joint account strategy and identify opportunities where OpenAI can improve customer outcomes within Google Cloud environments. - Define engagement models and prioritization frameworks to focus technical effort on high-impact, reusable solutions. - Help teams distinguish: - model access through **Model Garden** - purchasing through **Google Cloud Marketplace** - direct **OpenAI** offerings ### Complex deal leadership and execution - Lead technical strategy for complex enterprise engagements—from use-case discovery and architecture design to prototyping, evaluation, and production deployment. - Resolve integration and operational blockers with OpenAI and Google Cloud counterparts, providing clear decisions and next steps. - Validate model/feature availability, regional requirements, access controls, data handling, quotas, and support boundaries for each workload. - Prioritize opportunities and allocate technical resources based on customer impact and ecosystem scalability. ### Solution architecture and hands-on building - Design and build OpenAI-powered applications integrating with Google Cloud services (e.g., **Cloud Run** or **Google Kubernetes Engine**, **Cloud Storage**, **BigQuery**). - Develop reference implementations for supported **Model Garden** access to OpenAI via the **Responses API**, plus direct OpenAI integration patterns when they better fit customer needs. - Use the **Vertex AI SDK for Python / Agent Platform SDK** to discover deployable Model Garden models, inspect deployment configurations, and deploy supported open models to endpoints. - Validate project/region/machine/accelerator choices, credentials/permissions, and test inference—distinguishing this workflow from managed model API access. - Maintain supported SDK dependencies and adapt examples as Google updates its SDKs. - Build retrieval-augmented gen
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