Partner AI Deployment Engineer
About the team The AI Deployment Engineering (ADE) 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.
What this role actually needs.
Partner AI Deployment Engineer at OpenAI in San Francisco. UpJobz keeps this listing high-signal for applicants targeting serious high-tech roles across the United States, Canada, and Mexico. About the team The AI Deployment Engineering (ADE) 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.
Day-to-day expectations
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- Deeply embed with GSIs, RSIs, and boutique SIs as the technical lead, serving as their technical thought partner to ideate and build novel applications on our API for their customers.
- Work with senior SI and customer stakeholders to identify the best applications of GenAI in their industry and to build/qualify a comprehensive backlog to support their AI roadmap.
- Intervene directly to accelerate customer time to value through building hands-on prototypes and/or by delivering impactful strategic guidance.
- Forge and manage relationships with SI and customer stakeholders to ensure the successful deployment and scale of their applications.
- Codify solution packages and architectural patterns to accelerate time to deployment for customers and partners.
- Lead technical support during partners' initial projects to ensure successful implementations and mentor their technical teams towards self-sufficiency in delivering OpenAI-powered solutions.
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- Tailor your resume around ai and machine-learning instead of sending a generic application.
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- $197K - $278K is visible, so calibrate your application around the posted range.
- Use united states residents as part of your positioning so the recruiter does not have to infer it.
- Show concrete examples of succeeding in hybrid environments.
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