AI Deployment Engineer, Digital Natives

OpenAI, Inc.

Job Overview

Location

San Francisco

Job Type

Full-time

Full Job Description

📋 Description

• As an AI Deployment Engineer in the Digital Native segment, you'll help large and highly sophisticated companies transform their business through custom AI solutions applications such as customer service, automated content generation, contextual search, personalization, and other novel use cases leveraging OpenAI's newest, most exciting models and latest capabilities.
• You will pair with senior customer leaders to establish AI strategic roadmaps and identify the highest value applications.
• You’ll then partner with their engineering and product teams to move from prototype through production.
• You’ll take a holistic view of their needs and design an enterprise architecture using OpenAI APIs and other services to maximize customer value.
• You will collaborate closely with Sales, Solutions Engineering, Applied Research, and Product.
• This role is based in our SF or Seattle office.
• We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.
• In this role, you will:
• Deeply embedded with our most sophisticated and technical platform customers, serving as their technical thought partner in ideating and building novel applications on our APIs.
• Proactively provide guidance to our customers on how to maximize business impact from their applications, accelerating their time to value.
• Experiment and prototype solutions with and for your customers.
• Forge and manage relationships with our customers’ leadership and stakeholders to ensure their application’s successful deployment and scale.
• Contribute to our open-source developer and enterprise resources.
• Scale the AI Deployment Engineering function through sharing knowledge, codifying best practices, and publishing cookbooks to our internal and external repositories.
• Validate, synthesize, and deliver high-signal feedback to the Product, Engineering, and Research teams.
• You’ll thrive in this role if you:
• Have 5+ years of technical consulting (or equivalent) experience.
• Are proficient in Python and JavaScript.
• Built and/or delivered prototypes on top of our API platform.
• Led complex technical projects and programs with many stakeholders.
• Can proactively identify opportunities for maximizing our 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 to ensure both your team and our customers succeed.
• Are excited to contribute to the development of frontier AI capabilities by consolidating and channeling feedbacks from the field to our product and applied research teams.
• Have a humble attitude and an eagerness to help others with empathy.
• Operate with high horsepower, are 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.

🎯 Requirements

• 5+ years of technical consulting (or equivalent) experience.
• Proficiency in Python and JavaScript.
• Experience in building and/or delivering prototypes on top of OpenAI's API platform.
• Leadership experience in complex technical projects and programs with many stakeholders.
• Ability to proactively identify opportunities for maximizing customers’ business value through leveraging OpenAI APIs.

🏖️ Benefits

• Hybrid work model of 3 days in the office per week.
• Relocation assistance to new employees.
• Opportunity to contribute to the development of frontier AI capabilities.
• Collaborative and dynamic work environment.
• Access to OpenAI's open-source developer and enterprise resources.
• Opportunities for professional growth and development.

Skills & Technologies

Python

JavaScript

Hybrid

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OpenAI, Inc.

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About OpenAI, Inc.

OpenAI is a San Francisco-based artificial intelligence research and deployment company founded in 2015. It develops large-scale AI models such as GPT, DALL-E, and Codex, providing cloud APIs and consumer applications like ChatGPT. Originally established as a non-profit, it later created a capped-profit subsidiary to attract capital while maintaining its mission to ensure artificial general intelligence benefits all of humanity.

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