AI Deployment Engineer
OpenAIAbout the team
The AI Deployment Engineering team ensures the safe and effective deployment of Generative AI applications for developers and enterprises. We act as trusted advisors and technical partners to our customers, helping them build and execute their AI adoption strategy post-sale. Our mission is to develop a strong backlog of GenAI use cases tailored to each customer’s industry and to drive these initiatives from prototype to production through hands-on technical guidance and partnership.
As an AI Deployment Engineer, you will help customers across various industries transform their businesses through applications such as customer service automation, content generation, and entirely new offerings powered by our most advanced models.
About the role
We are looking for a solutions-oriented technical leader to engage with customers post-sale and ensure they realize tangible business value from their investment in OpenAI's technologies. You will work closely with senior leaders and technical teams within customer organizations to establish GenAI roadmaps, strategies, prioritize high-value use cases, and guide projects from early prototyping through enterprise-grade production deployments.
You will take a holistic view of each customer’s architecture and operations, designing solutions that leverage ChatGPT, OpenAI APIs, and our broader ecosystem of tools and services. You will work cross-functionally with Sales, Solutions Engineering, Applied Research, and Product teams, and report to the Head of Solutions Architecture for your segment.
This role is based in San Francisco, CA. We use a hybrid work model (3 days/week in the office) and offer relocation assistance for new employees.
In this role, you will:
Serve as the primary technical subject matter expert post-sale for a portfolio of customers, embedding deeply with them to design and deploy GenAI solutions.
Engage with senior business and technical stakeholders to identify, prioritize, and validate the highest-value GenAI applications in their roadmap.
Accelerate customer time to value by providing architectural guidance, building hands-on prototypes, and advising on best practices for scaling solutions in production.
Maintain strong relationships with leadership and technical teams to drive adoption, expansion, and successful outcomes.
Contribute to open-source resources and enterprise-facing technical documentation to scale best practices across