AI Deployment Engineer, Digital Natives

Responsibilities

• Deeply embedded with sophisticated and technical platform customers, serving as their technical thought partner in ideating and building novel applications on OpenAI APIs.
• Proactively provide guidance to customers on how to maximize business impact from their applications, accelerating their time to value.
• Experiment and prototype solutions with and for customers.
• Forge and manage relationships with customers’ leadership and stakeholders to ensure successful deployment and scale of applications.
• Contribute to open-source developer and enterprise resources.
• Scale the AI Deployment Engineering function through sharing knowledge, codifying best practices, and publishing cookbooks to internal and external repositories.
• Validate, synthesize, and deliver high-signal feedback to the Product, Engineering, and Research teams.

Requirements

• 5+ years of technical consulting (or equivalent) experience.
• Proficient in Python and JavaScript.
• Built and/or delivered prototypes on top of the OpenAI API platform.
• Led complex technical projects and programs with many stakeholders.
• Can proactively identify opportunities for maximizing customers’ business value through leveraging the OpenAI APIs.
• Own problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done.
• Excited to contribute to the development of frontier AI capabilities by consolidating and channeling feedback from the field to product and applied research teams.
• Humble attitude and an eagerness to help others with empathy.
• Operate with high horsepower, adept at frequent context switching and working on multiple projects at once with expansive ownership, and ruthlessly prioritize.
• Thrive in dynamic environments and can navigate ambiguity with ease.

Nice-to-Haves

• Experience partnering with senior customer leaders to establish AI strategic roadmaps and identify high-value applications.
• Ability to design enterprise architecture using OpenAI APIs and other services.
• Background in customer service, automated content generation, contextual search, personalization, or other novel AI use cases.