Partner Applied AI Engineer (Google Cloud)

Location: San Francisco, United States; hybrid

Salary: $197K–$278K plus equity

Company

OpenAI is an AI research and deployment company developing and safely deploying general-purpose artificial intelligence products.

What you will do

• Build trusted technical relationships with Google Cloud field leadership, Customer Engineers, AI specialists, and partner teams.
• Lead technical strategy for complex enterprise engagements from discovery and architecture through prototyping, evaluation, and production deployment.
• Design and build OpenAI-powered applications integrating with Google Cloud services such as Cloud Run, Google Kubernetes Engine, Cloud Storage, and BigQuery.
• Develop reference implementations using Model Garden, the Responses API, direct OpenAI integrations, Vertex AI SDK for Python, Agent Platform SDK, Google Gen AI SDK, and documented OpenAI APIs or SDKs.
• Build retrieval-augmented generation and tool-using workflows with explicit authorization, identity, networking, secrets, and data-governance controls.
• Create workshops, demos, playbooks, and reference architectures while transferring mature delivery patterns to Google Cloud teams and systems integrators.

Requirements

• Substantial technical consulting or equivalent experience with senior technical and business stakeholders in complex organizations.
• Hands-on experience with Model Garden and the Vertex AI SDK for Python or Agent Platform SDK, including model discovery, deployment configuration, endpoint deployment, and inference testing.
• Understanding of the differences between Vertex AI SDK tooling, Google Gen AI SDK, and OpenAI API or SDK integration paths.
• Ability to build production applications using Python or another relevant language, APIs, containers, and cloud services.
• Practical experience with LLM evaluation, retrieval, tool use, and secure enterprise integration.
• Ability to balance hands-on delivery with strategic influence and build trust with engineers, architects, and executives.
• Ownership of ambiguous problems, preference for repeatable solutions, and focus on customer outcomes and partner self-sufficiency.

Culture & Benefits

• Full-time employment in a hybrid work arrangement.
• Cross-functional collaboration with Alliances, Product, Engineering, GTM, and Enablement.
• Salary range of $197K–$278K plus equity.
• Work focused on safe, effective deployment of generative AI and measurable customer outcomes.
• Reasonable accommodations are available for applicants with disabilities; background checks are administered in accordance with applicable law.